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# NYC Data Science Academy

We offer 12 week full time Data Science bootcamp, corporate training, and professional development courses on weekend/weekdays related to the topics of R, Python, Hadoop, Spark.

## Sitemaps

- [XML Sitemap](https://nycdatascience.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Pages

- [Home](https://nycdatascience.com/) - NYC Data Science Academy offers immersive data science bootcamp, remote and online data science courses, corporate training, career development, and consulting.
- [About Us](https://nycdatascience.com/about-us/) - NYC Data Science Academy is an educational, training and career development organization. We offer a variety of services including full-time bootcamps, part-time courses, corporate training, consulting, and career services.
- [Refund and Regulations](https://nycdatascience.com/refund-and-regulations/) - Any student wishing to withdraw from a program must notify the school in writing. The date of withdrawal for refund purposes is the last date of recorded attendance.
- [Curriculum](https://nycdatascience.com/curriculum/)
- [Terms of Service](https://nycdatascience.com/terms-of-service/) - NYC Data Science Academy Terms of Service
- [Artificial Intelligence Bootcamp](https://nycdatascience.com/artificial-intelligence-bootcamp/) - Learn artificial intelligence through an immersive 8-to-12-week online bootcamp with real-world project experience and personalized career support.
- [Data Science Application Form](https://nycdatascience.com/data-science-application-form/)
- [Course Bundles](https://nycdatascience.com/course-bundles/)
- [Catalog](https://nycdatascience.com/catalog/)
- [Accreditation](https://nycdatascience.com/accreditation/)
- [Data Analytics Bootcamp](https://nycdatascience.com/data-analytics-bootcamp/) - Immerse yourself in accelerated learning and launch your data analytics career through Interactive Distance Learning! This short bootcamp is designed to equip you with the dominant skills and tools for data analytics.
- [Refund Policy](https://nycdatascience.com/refund-policy/)
- [Privacy Policy](https://nycdatascience.com/privacy-policy/) - This privacy policy explains how NYC Data Science Academy collects, uses, shares and protects information obtained from you on our website(s) and in connection with our course, products and other services (“Services”).
- [Student Testimonials](https://nycdatascience.com/student-testimonials/) - Read what our alumni say about their experience at the NYC Data Science Academy
- [Our Outcome](https://nycdatascience.com/our-outcome/)
- [Data Science with Machine Learning](https://nycdatascience.com/data-science-bootcamp/) - Learn data science through an immersive 12-week online bootcamp with real-world project experience and personalized career support.
- [Course Recommendation](https://nycdatascience.com/course-recommendation/) - Interested in becoming a Data Scientist? Fill in this three-step quiz to get course recommendations.
- [Data Science Launchpad with Python](https://nycdatascience.com/data-science-launchpad-with-python/) - Develop a strong understanding of today’s most popular programming language by learning the widely adapted tools and methods for data analytics, data visualization, and machine learning in Python in 15 weeks.
- [Join Us](https://nycdatascience.com/join-us/) - Join Us In Making The Difference Our team is always looking for smart, driven individuals who are passionate about what they do. Join us in accelerating the careers of many professionals in the growing field of data science.
- [Online Data Science Bootcamp](https://nycdatascience.com/online-data-science-bootcamp/) - Become A Data Scientist. This program is designed to prepare students for a career in data science, while equipping them with the knowledge and skills to use industry tools in real-world applications
- [Combined Data Science Bootcamp](https://nycdatascience.com/combined-data-science-bootcamp/)
- [FAQ](https://nycdatascience.com/faq/) - Find answers to some frequently asked questions about NYC Data Science Academy
- [](https://nycdatascience.com/thank-you-speak-with-advisor/)
- [Online Data Science Bootcamp](https://nycdatascience.com/online-data-science-bootcamp-b/)
- [Welcome Student](https://nycdatascience.com/welcome-student/)
- [Home V3](https://nycdatascience.com/home-v3/)
- [About Us V3](https://nycdatascience.com/about-us-v3/)
- [Data Science Application Thank You](https://nycdatascience.com/data-science-application-thank-you/)
- [Your Progress Has Been Saved](https://nycdatascience.com/your-progress-has-been-saved/)
- [Data-Science-Application-Form-2](https://nycdatascience.com/data-science-application-form-2/)
- [Live Online Bootcamp Demos](https://nycdatascience.com/live-online-bootcamp-demos/)
- [Remote Data Science Bootcamp](https://nycdatascience.com/remote-data-science-bootcamp/) - Learn data science anywhere at your own pace, through an industry-proven curriculum, interactive coding exercises, and real-world projects.
- [Remote Data Science Full Time](https://nycdatascience.com/remote-data-science-full-time/) - Learn data science anywhere at your own pace, through an industry-proven curriculum, interactive coding exercises, and real-world projects.
- [](https://nycdatascience.com/thank-you-bootcamp-inquiry/)
- [Thank You!](https://nycdatascience.com/thank-you-hiring-partners/)
- [Hiring Partners](https://nycdatascience.com/hiring-partners/) - Want to hire a data scientist? Join our quarterly Career Day to hire immediately with your first choice of candidates.
- [Where is NYCDSA located?](https://nycdatascience.com/where-is-nycdsa-located/)
- [Subscribe](https://nycdatascience.com/subscribe/)
- [Baidu is hiring data scientists using Coursera certificate as screening condition](https://nycdatascience.com/baidu-is-hiring-data-scientists-using-coursera-certificate-as-screening-condition/)
- [Part Time Full Calendar](https://nycdatascience.com/part-time-courses-full-calendar/)
- [All Online Courses](https://nycdatascience.com/all-online-courses/)
- [Online](https://nycdatascience.com/online/)
- [Contact Us](https://nycdatascience.com/contact-us/) - Contact us for information about online classes, corporate training, hiring students, or other information.
- [Our Team](https://nycdatascience.com/our-team/)
- [Thank You!](https://nycdatascience.com/thank-you-contact-us/)
- [Thank You!](https://nycdatascience.com/thank-you-more-questions/)
- [Thank You!](https://nycdatascience.com/thank-you-corporate-inquiry/)
- [Careers](https://nycdatascience.com/careers/) - Pursue a career you love at NYC Data Science Academy. We are a group of creative, high-energy people that are passionate about what we do.
- [Corporate Offerings](https://nycdatascience.com/corporate-offerings/) - We are experts in customizing corporate training, consulting, and project help. Let us help you boost your team's data science skills.
- [Data Engineering Application Form](https://nycdatascience.com/data-engineering-application-form/)
- [Hiring Partner Registration](https://nycdatascience.com/hiring-partner-registration/)
- [Affiliate Area](https://nycdatascience.com/affiliate-area/)
- [Data Science Courses](https://nycdatascience.com/courses/) - Learn R, Python, data analysis and visualization, machine learning, deep learning, and big data in our part-time online courses.
- [NYC Data Science Academy](https://nycdatascience.com/meetup-form/)
- [InterviewMatch](https://nycdatascience.com/interviewmatch/)
- [Hiring Partners](https://nycdatascience.com/hiring-partners-form/)
- [Student Signup](https://nycdatascience.com/student-signup/)
- [Form: Hiring Partners](https://nycdatascience.com/form-hiring-partners/)
- [Form: Consulting](https://nycdatascience.com/form-consulting/)
- [Form: Homepage](https://nycdatascience.com/form-homepage/)
- [Form: Project Help](https://nycdatascience.com/form-project-help/)
- [Form: Corporate Training](https://nycdatascience.com/form-corporate-training/)
- [Form: Bootcamp](https://nycdatascience.com/form-bootcamp/)

## Products

- [Generative AI for Marketing](https://nycdatascience.com/courses/gai-for-marketing/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Generative AI for Finance](https://nycdatascience.com/courses/generative-ai-for-finance/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Generative AI for Everyone](https://nycdatascience.com/courses/generative-ai-for-everyone/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Designing and Implementing Production Machine Learning Systems (MLOps)](https://nycdatascience.com/courses/designing-and-implementing-production-machine-learning-systems-mlops/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Data Science with Python: Machine Learning](https://nycdatascience.com/courses/data-science-with-python-machine-learning/) - An introduction to machine learning algorithms using Python modules in Scikit-Learn, covering the principles of machine learning and practical applications.
- [Data Science with Python: Data Analysis and Visualization](https://nycdatascience.com/courses/data-science-with-python-data-analysis-and-visualization/) - The course covers the most popular Python data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn.
- [Introductory Python](https://nycdatascience.com/courses/introductory-python/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Data Science with R: Data Analysis and Visualization](https://nycdatascience.com/courses/data-science-with-r-data-analysis/) - A comprehensive introduction to R programming, including processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting codes.
- [Natural Language Processing for Production (NLP)](https://nycdatascience.com/courses/natural-language-processing-for-production-nlp/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Generative AI for Legal](https://nycdatascience.com/courses/generative-ai-for-legal/) - An introduction to Python language basics, including list and string manipulation, control structures, simple I/O, and simple data analysis modules.
- [Deep Learning (with TensorFlow 2, Keras and PyTorch)](https://nycdatascience.com/courses/deep-learning/) - Learn artificial neural networks through interactive labs, featuring the most popular open-source Deep Learning library, TensorFlow, and its high-level API, Keras.
- [Big Data with Amazon Cloud, Hadoop/Spark and Docker](https://nycdatascience.com/courses/big-data-with-amazon-cloud-hadoop-spark-and-docker/) - Learn Hadoop and Spark ecosystem of Big Data technologies, including HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python.
- [Data Science with Tableau](https://nycdatascience.com/courses/data-science-with-tableau/) - This course offers an accelerated intensive learning experience with Tableau – the growing standard in business intelligence for data visualization and dashboard creation.
- [Data Science with R: Machine Learning](https://nycdatascience.com/courses/data-science-with-r-machine-learning/) - Learn machine learning algorithms and their practical applications in R, including data mining, performance measures and dimension reduction, regression models, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis.
- [Data Science Bootcamp Deposit](https://nycdatascience.com/courses/deposit-data-science-bootcamp-intensive-12-week/)

## Team Member

- [H. Paul Bao, PH.D](https://nycdatascience.com/team-member/h-paul-bao/)
- [Vivian Zhang](https://nycdatascience.com/team-member/vivian-zhang/)
- [David Corrigan](https://nycdatascience.com/team-member/david-corrigan/)
- [Sumanth Reddy](https://nycdatascience.com/team-member/sumanth-reddy/)
- [Tristan Dresbach](https://nycdatascience.com/team-member/tristan-dresbach/)
- [Stella Kim](https://nycdatascience.com/team-member/stella-kim/)
- [Denis Nguyen](https://nycdatascience.com/team-member/denis-nguyen-2/)
- [Yvonne Lau](https://nycdatascience.com/team-member/yvonne-lau/)
- [Kyle Gallatin](https://nycdatascience.com/team-member/kyle-gallatin/)
- [Evan Stark](https://nycdatascience.com/team-member/evan-stark/)
- [Cole Ingraham](https://nycdatascience.com/team-member/cole-ingraham/)
- [Jonathan Presley](https://nycdatascience.com/team-member/jonathan-presley/)
- [Zeyu Zhang](https://nycdatascience.com/team-member/zeyu-zhang/) - Zeyu, NYCDSA bootcamp manager, earned his master's degree in Electrical Engineering at New York University. With a strong background in object-oriented programming and a solid understanding of machine learning algorithms, he prides himself on being a versatile professional as he thrives on solving problems that require multiple skills, including Python, C++, R, SQL, C#, HTML/CSS, or JavaScript.
- [Joanna Huang](https://nycdatascience.com/team-member/joanna-huang/)
- [Jason Wang](https://nycdatascience.com/team-member/jason-wang/)
- [Mark Martinez](https://nycdatascience.com/team-member/mark-martinez/)
- [Kathy Liu](https://nycdatascience.com/team-member/kathy-liu/)
- [Jay Lee](https://nycdatascience.com/team-member/jay-lee/)
- [Royce Ho](https://nycdatascience.com/team-member/royce-ho/)
- [Hasan Aljabbouli](https://nycdatascience.com/team-member/hasan-aljabbouli/)
- [Reece Heineke](https://nycdatascience.com/team-member/reece-heineke/)
- [Wes Aull](https://nycdatascience.com/team-member/wes-aull/)
- [David Romoff](https://nycdatascience.com/team-member/david-romoff/)
- [Brennan Lodge](https://nycdatascience.com/team-member/brennan-lodge/)
- [Derek Darves-Bornoz](https://nycdatascience.com/team-member/derek-darves-bornoz/)

## Testimonial

- [John Sipala](https://nycdatascience.com/testimonial/john-sipala/)
- [Wendy Yu](https://nycdatascience.com/testimonial/wendy-yu-2/)
- [Yide Pan](https://nycdatascience.com/testimonial/yide-pan/)
- [Korrigan Clark](https://nycdatascience.com/testimonial/korrigan-clark/)
- [Punam Katariya](https://nycdatascience.com/testimonial/punam-katariya/)
- [Shin Chin, Senior Data Scientist](https://nycdatascience.com/testimonial/shin-chin/)
- [Jean-Francois Darre](https://nycdatascience.com/testimonial/jean-francois-darre/)
- [David Comfort](https://nycdatascience.com/testimonial/david-comfort/)
- [Joseph Lee](https://nycdatascience.com/testimonial/joseph-lee/)
- [Sricharan Maddineni](https://nycdatascience.com/testimonial/sricharan-maddineni/)
- [Adam Cone](https://nycdatascience.com/testimonial/adam-cone/)
- [Wendy Yu](https://nycdatascience.com/testimonial/wendy-yu/)
- [Ho Fai Wong](https://nycdatascience.com/testimonial/ho-fai-wong/)
- [Kelly Mejia Breton](https://nycdatascience.com/testimonial/kelly-mejia-breton/)
- [Denis Nguyen](https://nycdatascience.com/testimonial/denis-nguyen/)
- [Tatiana Sorokina](https://nycdatascience.com/testimonial/tatiana-sorokina/)
- [Robert Castellano](https://nycdatascience.com/testimonial/robert-castellano/)
- [Bin Lin](https://nycdatascience.com/testimonial/bin-lin/)
- [Arda Kosar](https://nycdatascience.com/testimonial/arda-kosar/)
- [Trinity Yu](https://nycdatascience.com/testimonial/trinity-yu/)
- [Brian Saindon](https://nycdatascience.com/testimonial/brian-saindon/)
- [Wanda Wang](https://nycdatascience.com/testimonial/wanda-wang/)
- [Tyler Knutson](https://nycdatascience.com/testimonial/tyler-knutson-2/)
- [Linlin Cheng](https://nycdatascience.com/testimonial/linlin-cheng-2/)
- [Bernard Ong](https://nycdatascience.com/testimonial/bernard-ong-2/)
- [Shuheng Li](https://nycdatascience.com/testimonial/shuheng-li-2/)
- [Charles Leung](https://nycdatascience.com/testimonial/charles-leung-2/)
- [David Steinmetz](https://nycdatascience.com/testimonial/david-steinmetz/)
- [Lydia Kan](https://nycdatascience.com/testimonial/lydia-kan/)
- [Spencer Stebbins](https://nycdatascience.com/testimonial/spencer-stebbins/)
- [Yvonne Lau](https://nycdatascience.com/testimonial/yvonne-lau/)
- [Carlos Salas](https://nycdatascience.com/testimonial/carlos-salas/)
- [Kyle Gallatin](https://nycdatascience.com/testimonial/kyle-gallatin/)
- [Mayank Shah](https://nycdatascience.com/testimonial/mayank-shah/)
- [Wann-Jiiun Ma, Fraud Data Scientist](https://nycdatascience.com/testimonial/wann-jiiun-ma-fraud-data-scientist/)
- [Andrew Rubino, Data Lead](https://nycdatascience.com/testimonial/andrew-rubino-data-lead/)
- [Aarsh Sachdeva, Quantitative Analyst](https://nycdatascience.com/testimonial/aarsh-sachdeva-quantitative-analyst/)
- [Mustafa Koroglu](https://nycdatascience.com/testimonial/mustafa-koroglu/)
- [Jake Bialer, Data Scientist](https://nycdatascience.com/testimonial/jake-bialer-data-scientist/)
- [Katie Critelli, Associate](https://nycdatascience.com/testimonial/katie-critelli-associate/)
- [Yabin Fan, Data Engineer](https://nycdatascience.com/testimonial/yabin-fan-data-engineer/)
- [Claire Vignon, Senior Analyst](https://nycdatascience.com/testimonial/claire-vignon/)
- [Chao Shi, Senior Data Scientist](https://nycdatascience.com/testimonial/chao-shi-senior-data-scientist/)
- [Patrick Masi-Phelps, Data Scientist](https://nycdatascience.com/testimonial/patrick-masi-phelps-data-scientist/)
- [Andrew Dodd, Machine Learning Engineer](https://nycdatascience.com/testimonial/andrew-dodd-machine-learning-engineer/)
- [William Fallon, Trader](https://nycdatascience.com/testimonial/william-fallon-trader/)
- [Iman Singh, Senior Data Analyst](https://nycdatascience.com/testimonial/iman-singh-senior-data-analyst/)
- [M. Aaron Owen, Data Scientist](https://nycdatascience.com/testimonial/m-aaron-owen-data-scientist/)
- [Kathryn A. Bryant, Senior Data Scientist](https://nycdatascience.com/testimonial/kathryn-a-bryant-senior-data-scientist/)
- [Maria Mercedes, Program Analyst](https://nycdatascience.com/testimonial/maria-mercedes-program-analyst/)
- [Chaoran Chen, Data Engineer](https://nycdatascience.com/testimonial/chaoran-chen-data-engineer/)
- [James Lee, Data Specialist](https://nycdatascience.com/testimonial/james-lee-data-specialist/)
- [John Bentley, Product Data Analyst](https://nycdatascience.com/testimonial/john-bentley-product-data-analyst/)
- [Phoebe Zhou, Data Analyst](https://nycdatascience.com/testimonial/phoebe-zhou-data-analyst/)
- [Thomas Deegan, Data Scientist](https://nycdatascience.com/testimonial/thomas-deegan-data-scientist/)
- [Lukas Frei, Data Science Consultant](https://nycdatascience.com/testimonial/lukas-frei-data-science-consultant/)
- [Tristan Dresbach, Data Scientist](https://nycdatascience.com/testimonial/tristan-dresbach-data-scientist/)
- [Shiva Panicker](https://nycdatascience.com/testimonial/shiva-panicker/)
- [Fangye Shi, Data Scientist](https://nycdatascience.com/testimonial/fangye-shi-data-scientist/)
- [Emanuel Kamali, Data Engineer](https://nycdatascience.com/testimonial/emanuel-kamali-data-engineer/)
- [Jennifer Lee, Fast-to-Action Manager](https://nycdatascience.com/testimonial/jennifer-lee-fast-to-action-manager/)
- [Sunanda Mishra, Associate Predictive Modeller](https://nycdatascience.com/testimonial/sunanda-mishra-associate-predictive-modeller/)
- [Taino Pacheco, Revenue Analyst](https://nycdatascience.com/testimonial/taino-pacheco-revenue-analyst/)
- [Elsa Vera, Data Scientist Associate](https://nycdatascience.com/testimonial/elsa-vera-data-scientist-associate/)
- [Katie Sohn, Data Scientist](https://nycdatascience.com/testimonial/katie-sohn-data-scientist/)
- [Melanie Uhde, Data Science Modeler](https://nycdatascience.com/testimonial/melanie-uhde-data-science-modeler/)
- [Aungshuman Zaman, Software Engineer](https://nycdatascience.com/testimonial/aungshuman-zaman-software-engineer/)
- [Simon Joyce, Software Engineer](https://nycdatascience.com/testimonial/simon-joyce-software-engineer/)
- [Sophie Geoghan, Data Scientist](https://nycdatascience.com/testimonial/sophie-geoghan-data-scientist/)
- [Tracey Xu](https://nycdatascience.com/testimonial/tracey-xu-financial-engineer/)
- [Alex Baransky, Growth Hacker](https://nycdatascience.com/testimonial/alex-baransky-growth-hacker/)
- [Shanshan Lu, Data Scientist](https://nycdatascience.com/testimonial/shanshan-lu-data-scientist/)
- [James Chen, Data Scientist](https://nycdatascience.com/testimonial/james-chen-data-scientist/)
- [Michael Chuang, Data Analyst](https://nycdatascience.com/testimonial/michael-chuang-data-analyst/)
- [Jacky Liu, AVP, Quantitative Finance Analyst](https://nycdatascience.com/testimonial/jacky-liu/)
- [Felipe Da Silva Santos, Data Scientist](https://nycdatascience.com/testimonial/felipe-da-silva-santos-data-scientist/)
- [Zhenggang Xu, Senior software engineer](https://nycdatascience.com/testimonial/zhenggang-xu-senior-software-engineer/)
- [Xu Huang, Data Scientist](https://nycdatascience.com/testimonial/xu-huang-data-scientist/)
- [Samuel Mao, Data Scientist](https://nycdatascience.com/testimonial/samuel-mao-data-scientist/)
- [Chuanhao (John) Nie](https://nycdatascience.com/testimonial/chuanhaojohn-nie/)
- [Raymond Liang, Data Scientist](https://nycdatascience.com/testimonial/raymond-liang-data-scientist/)
- [Nacho Moreno, BI & Data Analytics](https://nycdatascience.com/testimonial/nacho-moreno-bi-data-analytics/)
- [Igor Gitlevich, Data Scientist](https://nycdatascience.com/testimonial/igor-gitlevich-data-scientist/)
- [Daniel Bubb, Principal Artificial Intelligence Researcher](https://nycdatascience.com/testimonial/daniel-bubb-principal-artificial-intelligence-researcher/)
- [Sam Marks, Global Business Analytics](https://nycdatascience.com/testimonial/sam-marks-global-business-analytics/)
- [Mike Caballero, Data Scientist](https://nycdatascience.com/testimonial/mike-caballero-data-scientist/)
- [Jacob Ralston, Algorithm and Machine Learning Engineer](https://nycdatascience.com/testimonial/jacob-ralston-algorithm-and-machine-learning-engineer/)
- [Peter Yang, Associate Engineer](https://nycdatascience.com/testimonial/peter-yang-associate-engineer/)
- [Marissa Joy, Data Analyst, Media Optimization](https://nycdatascience.com/testimonial/marissa-joy-data-analyst-media-optimization/)
- [David Kogan, Quantitative Trader Intern](https://nycdatascience.com/testimonial/david-kogan-quantitative-trader-intern/)
- [Daniel (Donghyun) Kang, Enterprise Architect](https://nycdatascience.com/testimonial/daniel-donghyun-kang-enterprise-architect/)
- [Dean Goldman, Data Engineer](https://nycdatascience.com/testimonial/dean-goldman-data-engineer/)
- [Ansel Andro Santos, Experimentation Analyst](https://nycdatascience.com/testimonial/ansel-andro-santos-experimentation-analyst/)
- [Hans Lau, Sr Analyst, Data Science](https://nycdatascience.com/testimonial/hans-lau-sr-analyst-data-science/)
- [Michael Chin, Director of Technology](https://nycdatascience.com/testimonial/michael-chin-director-of-technology/)
- [Andrew Dodd, AI Engineer](https://nycdatascience.com/testimonial/andrew-dodd-ai-engineer/)
- [Yisong Tao, Optimization Analyst](https://nycdatascience.com/testimonial/yisong-tao-optimization-analyst/)
- [Neuton Fonseca, Data Science Consultant](https://nycdatascience.com/testimonial/neuton-fonseca-data-science-consultant/)
- [Derek Li, Data Science Consultant](https://nycdatascience.com/testimonial/derek-li-data-science-consultant/)
- [David Corrigan, Data Scientist II](https://nycdatascience.com/testimonial/david-corrigan-data-scientist-ii/)
- [Mimi Cheung, Data Analyst](https://nycdatascience.com/testimonial/mimi-cheung-data-analyst/)
- [Jingyu Zhang, Business Strategy Analyst](https://nycdatascience.com/testimonial/jingyu-zhang-business-strategy-analyst/)
- [Nikhil Krishnan, Strategic Partnerships Manager](https://nycdatascience.com/testimonial/nikhil-krishnan-strategic-partnerships-manager/)
- [Wenchang Qian, Head of Data Science](https://nycdatascience.com/testimonial/wenchang-qian-head-of-data-science/)
- [William Kye, Statistical Analyst](https://nycdatascience.com/testimonial/william-kye-statistical-analyst/)
- [Gurminder Kaur, Data Scientist](https://nycdatascience.com/testimonial/gurminder-kaur-data-scientist/)
- [Xiaowei Cheng, Data Analyst](https://nycdatascience.com/testimonial/xiaowei-cheng-data-analyst/)
- [Franklin Dickinson, Applied Data Scientist](https://nycdatascience.com/testimonial/franklin-dickinson-applied-data-scientist/)
- [Abbey Chen, Data Science & Machine Learning Analyst](https://nycdatascience.com/testimonial/abbey-chen-data-science-machine-learning-analyst/)
- [Marissa Jooy, Data Analyst, Media Optimization](https://nycdatascience.com/testimonial/marissa-jooy-data-analyst-media-optimization/)
- [Mitchell Hung, Data Analyst](https://nycdatascience.com/testimonial/mitchell-hung-data-analyst/)
- [James Chen, Data Scientist](https://nycdatascience.com/testimonial/james-chen-data-scientist-2/)
- [Eric Meyers](https://nycdatascience.com/testimonial/eric-meyers/)
- [Hanxiao Zhang](https://nycdatascience.com/testimonial/hanxiao-zhang/)
- [Tomas Nivon](https://nycdatascience.com/testimonial/tomas-nivon/)
- [Mario Valadez Trevino](https://nycdatascience.com/testimonial/mario-valadez-trevino/)
- [Xavier Granda](https://nycdatascience.com/testimonial/xavier-granda/)
- [Aaron Festinger](https://nycdatascience.com/testimonial/aaron-festinger/)
- [Austin Cheng](https://nycdatascience.com/testimonial/austin-cheng/)
- [Aparna Sundaram](https://nycdatascience.com/testimonial/aparna-sundaram/)
- [Oleksii Khomov](https://nycdatascience.com/testimonial/oleksii-khomov/)
- [Simon Zhong](https://nycdatascience.com/testimonial/simon-zhong/)
- [Michael Link](https://nycdatascience.com/testimonial/michael-link/)
- [Luke Gray](https://nycdatascience.com/testimonial/luke-gray/)
- [Yan Mu](https://nycdatascience.com/testimonial/yan-mu/)
- [Dmitri Levonian](https://nycdatascience.com/testimonial/dmitri-levonian/)
- [Sammy Dolgin](https://nycdatascience.com/testimonial/sammy-dolgin/)
- [Kailun Cheng](https://nycdatascience.com/testimonial/kailun-cheng/)
- [William Ponsonby](https://nycdatascience.com/testimonial/william-ponsonby/)
- [Arliss Coates](https://nycdatascience.com/testimonial/arliss-coates/)
- [Baptiste Mokas](https://nycdatascience.com/testimonial/baptiste-mokas/)
- [Catherine Tang Kim Sin](https://nycdatascience.com/testimonial/catherine-tang-kim-sin/)
- [Swarup Malli](https://nycdatascience.com/testimonial/swarup-malli/)
- [Robert K.N. Atuahene](https://nycdatascience.com/testimonial/robert-k-n-atuahene/)
- [Elina Egiazarova](https://nycdatascience.com/testimonial/elina-egiazarova/)
- [Simon Yates](https://nycdatascience.com/testimonial/simon-yates/)
- [Victoria Lowery](https://nycdatascience.com/testimonial/victoria-lowery/)
- [Bee Kim](https://nycdatascience.com/testimonial/bee-kim/)
- [Zack Zbar](https://nycdatascience.com/testimonial/zack-zbar/)
- [David Zask](https://nycdatascience.com/testimonial/david-zask/)
- [Matthew Boccio](https://nycdatascience.com/testimonial/matthew-boccio/)
- [Sundus Seif](https://nycdatascience.com/testimonial/sundus-seif/)
- [Huimin Ou](https://nycdatascience.com/testimonial/huimin-ou-2/)
- [Karoly Lajko](https://nycdatascience.com/testimonial/karoly-lajko/)
- [Joe Lu](https://nycdatascience.com/testimonial/joe-lu/)
- [Haining Fu](https://nycdatascience.com/testimonial/haining-fu/)
- [Gregory Weber](https://nycdatascience.com/testimonial/gregory-weber/)
- [Khamanna Iskandarova](https://nycdatascience.com/testimonial/khamanna-iskandarova/)
- [Mike Sender](https://nycdatascience.com/testimonial/mike-sender/)
- [Richard Choi](https://nycdatascience.com/testimonial/richard-choi/)
- [Hong Chan Kim](https://nycdatascience.com/testimonial/hong-chan-kim/)
- [Patrice Kontchou](https://nycdatascience.com/testimonial/patrice-kontchou/)
- [Sofia Wang](https://nycdatascience.com/testimonial/sofia-wang/)
- [Brandon Deniz, Associate Data Scientist](https://nycdatascience.com/testimonial/brandon-deniz-associate-data-scientist/)
- [Lavanya Gupta, Software Development Engineer - Machine Learning](https://nycdatascience.com/testimonial/lavanya-gupta-software-development-engineer-machine-learning/)
- [Mimi Chung](https://nycdatascience.com/testimonial/mimi-chung/)
- [Chung-Hsuan Huang](https://nycdatascience.com/testimonial/chung-hsuan-huang/)
- [Jun Kui Chen](https://nycdatascience.com/testimonial/jun-kui-chen/)
- [Kesman Valdes](https://nycdatascience.com/testimonial/kesman-valdes/)
- [Rafal Zabrinsky](https://nycdatascience.com/testimonial/rafal-zabrinsky/)
- [Bob Trieste](https://nycdatascience.com/testimonial/bob-trieste/)
- [Sam Brand](https://nycdatascience.com/testimonial/sam-brand-2/)
- [Paul Grech](https://nycdatascience.com/testimonial/paul-grech/)
- [Bob Trieste, Equities | FX Trader](https://nycdatascience.com/testimonial/bob-trieste-equities-fx-trader/)
- [Carlos S.](https://nycdatascience.com/testimonial/carlos-s/)
- [Kirsten Schulz](https://nycdatascience.com/testimonial/kirsten-schulz/)
- [Raymond Liang](https://nycdatascience.com/testimonial/raymond-liang/)
- [Jamie Huang](https://nycdatascience.com/testimonial/jamie-huang/)
- [Samuel Mao](https://nycdatascience.com/testimonial/samuel-mao/)
- [Michelle Vu](https://nycdatascience.com/testimonial/michelle-vu/)
- [Evan Squire](https://nycdatascience.com/testimonial/evan-squire/)
- [Naveen Ramachandran](https://nycdatascience.com/testimonial/naveen-ramachandran/)
- [Pranati Jain](https://nycdatascience.com/testimonial/pranati-jain/)
- [Maria Mercedes](https://nycdatascience.com/testimonial/maria-mercedes/)
- [Nehal Chokshi](https://nycdatascience.com/testimonial/nehal-chokshi/)
- [HF](https://nycdatascience.com/testimonial/hf-2/)
- [Manjula Rimmalapudi](https://nycdatascience.com/testimonial/manjula-rimmalapudi/)
- [Marius Popa](https://nycdatascience.com/testimonial/marius-popa/)
- [HF](https://nycdatascience.com/testimonial/hf/)
- [Rafal Zabinski](https://nycdatascience.com/testimonial/rafal-zabinski/)
- [Leona Isabelle](https://nycdatascience.com/testimonial/leona-isabelle/)
- [Lauren Jablonski](https://nycdatascience.com/testimonial/lauren-jablonski/)
- [S Sethi](https://nycdatascience.com/testimonial/s-sethi/)
- [Devika](https://nycdatascience.com/testimonial/devika/)
- [Alfredo Pinel](https://nycdatascience.com/testimonial/alfredo-pinel/)
- [Justin L. Ng](https://nycdatascience.com/testimonial/justin-l-ng/)
- [Dylan Dempsey](https://nycdatascience.com/testimonial/dylan-dempsey/)
- [Jae Ko](https://nycdatascience.com/testimonial/jae-ko/)
- [Sunny Lee](https://nycdatascience.com/testimonial/sunny-lee/)
- [Heather Kleypas](https://nycdatascience.com/testimonial/heather-kleypas/)
- [Jian Qiao](https://nycdatascience.com/testimonial/jian-qiao/)
- [William Zhou](https://nycdatascience.com/testimonial/william-zhou-informatics-specialist/)
- [Thomas Kassel](https://nycdatascience.com/testimonial/thomas-kassel-data-scientist/)
- [Lakshmi Prabha Sudharsanom](https://nycdatascience.com/testimonial/lakshmi-prabha-sudharsanom-data-scientist/)
- [Sudhanshu Chib, Lead Analyst](https://nycdatascience.com/testimonial/sudhanshu-chib-lead-analyst/)
- [Christian Urrea, Machine Learning Engineer](https://nycdatascience.com/testimonial/christian-urrea-machine-learning-engineer/)
- [Alexey Malafeyev, Business Intelligence Developer](https://nycdatascience.com/testimonial/alexey-malafeyev-business-intelligence-developer/)
- [Anthony S. Romano, Research Scientist](https://nycdatascience.com/testimonial/anthony-s-romano-research-scientist/)
- [Paul Ton, Data Scientist](https://nycdatascience.com/testimonial/paul-ton-data-scientist/)
- [Zach McCormick, Senior Software Engineer](https://nycdatascience.com/testimonial/zach-mccormick-senior-software-engineer/)
- [Ha Seon Yun](https://nycdatascience.com/testimonial/ha-seon-yun/)
- [Navin Krishnakumar, Data Scientist](https://nycdatascience.com/testimonial/navin-krishnakumar-data-scientist/)
- [Ilya Fischhoff, Postdoctoral Researcher](https://nycdatascience.com/testimonial/ilya-fischhoff-postdoctoral-researcher/)
- [Richard Sheng, Co-Founder & CEO](https://nycdatascience.com/testimonial/richard-sheng-co-founder-ceo/)
- [Khanan Grauer](https://nycdatascience.com/testimonial/khanan-grauer/)
- [Michael Roman](https://nycdatascience.com/testimonial/michael-roman/)
- [John Chen, Software Engineer](https://nycdatascience.com/testimonial/john-chen-software-engineer/)
- [Mahipal S, Associate Director of Development](https://nycdatascience.com/testimonial/mahipal-s/)
- [Lukasz](https://nycdatascience.com/testimonial/lukasz/)
- [Rahul Bhat](https://nycdatascience.com/testimonial/rahul-bhat/)
- [Joe Keepers](https://nycdatascience.com/testimonial/joe-keepers/)
- [Vinod Shekar](https://nycdatascience.com/testimonial/vinod-shekar/)
- [Sandra Barral](https://nycdatascience.com/testimonial/sandra-barral/)
- [Jurgen de Jager](https://nycdatascience.com/testimonial/jurgen-de-jager/)
- [Tingyan Zheng](https://nycdatascience.com/testimonial/tingyan-zheng/)
- [Jiaqi Luo](https://nycdatascience.com/testimonial/jiaqi-luo/)
- [Donald Fleurantin](https://nycdatascience.com/testimonial/donald-fleurantin/)
- [John Montroy](https://nycdatascience.com/testimonial/john-montroy/)
- [Christopher Redino](https://nycdatascience.com/testimonial/christopher-redino/)
- [Barbara Wang](https://nycdatascience.com/testimonial/barbara-wang/)
- [Jake Lehrhoff](https://nycdatascience.com/testimonial/jake-lehrhoff/)
- [Nate Aiken](https://nycdatascience.com/testimonial/nate-aiken/)
- [Pokman Cheung](https://nycdatascience.com/testimonial/pokman-cheung/)
- [Mark Li](https://nycdatascience.com/testimonial/mark-li/)
- [Liz Klobusicky](https://nycdatascience.com/testimonial/liz-klobusicky/)
- [Aaron Ouyang](https://nycdatascience.com/testimonial/aaron-ouyang/)
- [Mark Rothe](https://nycdatascience.com/testimonial/mark-rothe/)
- [Christopher Bian](https://nycdatascience.com/testimonial/christopher-bian/)
- [Margaret Hung](https://nycdatascience.com/testimonial/margaret-hung/)
- [Kai Sun](https://nycdatascience.com/testimonial/kai-sun/)
- [Jiten Pai](https://nycdatascience.com/testimonial/jiten-pai/)
- [Marifel Corpuz](https://nycdatascience.com/testimonial/marifel-corpuz/)
- [Morgan Polotan](https://nycdatascience.com/testimonial/morgan-polotan/)
- [Eugene Zee](https://nycdatascience.com/testimonial/eugene-zee/)
- [David Russo](https://nycdatascience.com/testimonial/david-russo/)
- [Heena Doshani](https://nycdatascience.com/testimonial/heena-doshani/)
- [Jasna Vukovic](https://nycdatascience.com/testimonial/jasna-vukovic/)

## Student

- [Julie Kim](https://nycdatascience.com/student/julie-kim/)
- [Milka Rodriguez](https://nycdatascience.com/student/milka-rodriguez/)
- [Vallari Shah MD, PhD](https://nycdatascience.com/student/vallari-shah/)
- [Greg Weber](https://nycdatascience.com/student/greg-weber/)
- [Rama Krishna Ruttala](https://nycdatascience.com/student/rama-krishna-ruttala/)
- [Francesco Agnellini](https://nycdatascience.com/student/francesco-agnellini/)
- [Ruiya Zhang](https://nycdatascience.com/student/ruiya-zhang/)
- [Tyler Kim](https://nycdatascience.com/student/tyler-kim/)
- [Deborah L.](https://nycdatascience.com/student/deborah-leong-2/)
- [Michael Chin](https://nycdatascience.com/student/michael-chin-2/)
- [Drace Zhan](https://nycdatascience.com/student/32224-2/)
- [Jennifer Lee](https://nycdatascience.com/student/jennifer-lee/)
- [Nicholas Maloof](https://nycdatascience.com/student/nicholas-maloof/)
- [Jonathan Saks](https://nycdatascience.com/student/jonathan-saks/)
- [Robert Garcia](https://nycdatascience.com/student/robert-garcia/)
- [Diana Dent](https://nycdatascience.com/student/diana-dent/)
- [Zach Stone](https://nycdatascience.com/student/zach-stone/)
- [Mmaduabuchi Okpala](https://nycdatascience.com/student/mmaduabuchi-okpala/)
- [Francisca Palacios](https://nycdatascience.com/student/francisca-palacios/)
- [Daniel Erickson](https://nycdatascience.com/student/daniel-erickson/)
- [Steven Lee](https://nycdatascience.com/student/steven-lee/)
- [Jiajia Zhang](https://nycdatascience.com/student/jiajia-zhang/)
- [Zhuohan (Mark) Li](https://nycdatascience.com/student/zhuohan-mark-li/)
- [Priscilla Yeung](https://nycdatascience.com/student/30705-2/)
- [Joseph Iacopelli](https://nycdatascience.com/student/joseph-iacopelli/)
- [Brian Drewes](https://nycdatascience.com/student/brian-drewes/)
- [James Seykot](https://nycdatascience.com/student/james-seykot/)
- [Erin Yu](https://nycdatascience.com/student/erin-yu/)
- [Roger (Chih-Cheng) Huang](https://nycdatascience.com/student/roger-chih-cheng-huang/)
- [George Ho](https://nycdatascience.com/student/george-ho/)
- [Edward Tong](https://nycdatascience.com/student/edward-tong/)
- [Grainne O'Neill](https://nycdatascience.com/student/grainne-oneill/)
- [Daniel Setiawan](https://nycdatascience.com/student/daniel-setiawan/)
- [Sam Miner](https://nycdatascience.com/student/sam-miner/)
- [Elijah Spiegel](https://nycdatascience.com/student/elijah-spiegel/)
- [Laurel He](https://nycdatascience.com/student/laurel-he/)
- [Ayelet Hillel](https://nycdatascience.com/student/ayelet-hillel/)
- [Katie Critelli](https://nycdatascience.com/student/katie-critelli/)
- [Seyfican Yalcindag](https://nycdatascience.com/student/seyfican-yalcindag/)
- [Rajesh Arasada](https://nycdatascience.com/student/rajesh-arasada/)
- [Adrian Phillips](https://nycdatascience.com/student/adrian-phillips/)
- [Fatima Hamdan](https://nycdatascience.com/student/fatima-hamdan/)
- [Steven Jongerden](https://nycdatascience.com/student/steven-jongerden/)
- [Soo Hyon Lee](https://nycdatascience.com/student/soo-hyon-lee/)
- [Richard Zhu (Ziyu Zhu)](https://nycdatascience.com/student/richard-zhu-ziyu-zhu/)
- [Timothy Waterman](https://nycdatascience.com/student/timothy-waterman/)
- [Rajesh Earlu](https://nycdatascience.com/student/rajesh-earlu/)
- [Debbie Trinh](https://nycdatascience.com/student/debbie-trinh/)
- [Mike Lyman](https://nycdatascience.com/student/mike-lyman/)
- [David Levy](https://nycdatascience.com/student/david-levy/)
- [Aydan Ellman](https://nycdatascience.com/student/aydan-ellman/)
- [Alex Galczak](https://nycdatascience.com/student/alex-galczak/)
- [James Reno](https://nycdatascience.com/student/james-reno-2/)
- [Asaad Albusaidi](https://nycdatascience.com/student/asaad-albusaidi/)
- [Xumin(Amy) Zeng](https://nycdatascience.com/student/xuminamy-zeng/)
- [Dmitriy Popov-Velasco](https://nycdatascience.com/student/dmitriy-popov-velasco-2/)
- [Matthew Woolf](https://nycdatascience.com/student/matthew-woolf/)
- [Vinod Chugani](https://nycdatascience.com/student/vinod-chugani/)
- [Jeremy Osir](https://nycdatascience.com/student/27452-2/)
- [Sarah Adams](https://nycdatascience.com/student/sarah-adams/)
- [Sarah Beth Powell](https://nycdatascience.com/student/sarah-beth-powell/)
- [Sining (Saniya) Wu](https://nycdatascience.com/student/sining-saniya-wu/)
- [Ju Min (Lumi) Liu](https://nycdatascience.com/student/ju-min-lumi-liu/)
- [Chuan Sun](https://nycdatascience.com/student/chuan-sun-2/)
- [Monika Singh](https://nycdatascience.com/student/monika-singh/)
- [Zaineb Yahya](https://nycdatascience.com/student/zaineb-yahya/)
- [Adna Lakisic](https://nycdatascience.com/student/adna-lakisic/)
- [Katherine Treadwell](https://nycdatascience.com/student/katherine-treadwell-2/)
- [Zhane Bennett](https://nycdatascience.com/student/zhane-bennett/)
- [Bennett Gelly](https://nycdatascience.com/student/bennett-gelly/)
- [Mandy McClintock](https://nycdatascience.com/student/mandy-mcclintock/)
- [Suhita Acharya](https://nycdatascience.com/student/suhita-acharya/)
- [Linh-Tam Trinh](https://nycdatascience.com/student/linh-tam-trinh/)
- [](https://nycdatascience.com/student/27419-2/)
- [Layal Hammad](https://nycdatascience.com/student/layal-hammad/)
- [Trevor Mattos](https://nycdatascience.com/student/trevor-mattos/)
- [Natalie Zadrozna](https://nycdatascience.com/student/natalie-zadrozna/)
- [Dmitriy Popov-Velasco](https://nycdatascience.com/student/dmitriy-popov-velasco/)
- [Sarah Adam](https://nycdatascience.com/student/sarah-adam/)
- [Amanda Manfredo](https://nycdatascience.com/student/amanda-manfredo/)
- [Erjon Brucaj](https://nycdatascience.com/student/erjon-brucaj/)
- [Michelle Bui](https://nycdatascience.com/student/michelle-bui/)
- [David Green](https://nycdatascience.com/student/david-green/)
- [Daniel Rahman](https://nycdatascience.com/student/daniel-rahman/)
- [Xumin Amy Zeng](https://nycdatascience.com/student/xumin-amy-zeng/)
- [Stefan Nachtigall](https://nycdatascience.com/student/stefan-nachtigall/)
- [James Reno](https://nycdatascience.com/student/james-reno/)
- [Royce Ho](https://nycdatascience.com/student/royce-ho-2/)
- [Julianna Douglas](https://nycdatascience.com/student/julianna-douglas/) - Data analyst with a background in mathematics, strengthened by a variety of coding languages, a knack for problem-solving, and a unique ability to communicate complex ideas in a simple and understandable fashion. Highly motivated to use data analysis in an interdisciplinary way to bring about positive change.
- [Gopal Sharathchandra](https://nycdatascience.com/student/gopal-sharathchandra-2/) - Data, analytics and modeling executive with 25+ years in financial services (PNC, Freddie Mac, Capital One, ADB).
- [GIHOZO Patience](https://nycdatascience.com/student/gihozo-patience/) - I am passionate about big data analytics. Discovering hidden patterns, correlations, market trends, and customer preferences is part of my daily work. Technology success can be determined by how fast, and accurate desired tasks get accomplished. With cloud computing, it is more efficient to design, build, update and automate most tech models and infrastructures.
- [Shu Yan](https://nycdatascience.com/student/shu-yan/) - As a physicist with proficient analytical skills and strong programming background, I bring coding, data science and critical problem solving skills together to tackle real world problems. I apply machine learning and statistical models daily and enjoy nothing more than learning new technologies. My physical intuition and mathematical reasoning always bring more insight when thinking about statistical models and machine learning.
- [Luke Lin](https://nycdatascience.com/student/luke-lin/)
- [David Kressley](https://nycdatascience.com/student/david-kressley/) - David graduated with a MBA in Data Analytic from American University and completed our NYCDSA bootcamp, is now currently working as a Bootcamp Coordinator.
- [Royce Ho](https://nycdatascience.com/student/royce-ho/)
- [Ziqi Polimeros](https://nycdatascience.com/student/ziqi-polimeros/)
- [Thomas Ouyang](https://nycdatascience.com/student/thomas-ouyang/) - Data Scientist with a background in Finance and Statistics. A problem solver that eagerly tackles complex datasets to reveal their most useful insights. Skilled in Financial Data Analysis and programming languages such as Python, R, and SQL.
- [Jung Hwan Lim](https://nycdatascience.com/student/jung-hwan-lim/)
- [Nimit Sharma](https://nycdatascience.com/student/nimit-sharma/) - I am a highly analytical, collaborative, and entrepreneurial executive with 20+ years of progressive leadership experience directing machine learning, advanced data analytics, statistical modeling, business intelligence, credit risk management, model risk management, design thinking, and product development within industry-leading organizations.
- [Himanshu Singh](https://nycdatascience.com/student/himanshu-singh/) - Lifelong learner, servant leader and a versatile product and analytics professional.
- [Ali Masoudi](https://nycdatascience.com/student/ali-masoudi/)
- [Konstantinos Marcopulos](https://nycdatascience.com/student/konstantinos-marcopulos/) - Data analyst exploring the metrics behind the game. Utilize data visualization, EDA, machine learning, R and Python to discover insights in the world of soccer.
- [Stephanie McMahon](https://nycdatascience.com/student/stephanie-mcmahon/)
- [Raunak Padore](https://nycdatascience.com/student/raunak-padore/) - Data scientist with a passion for problem solving aided by skills in machine learning and a range of programming languages. Strong communication skills sharpened by customer-oriented work experience, a team driven mindset, and the ability to simplify complex concepts.
- [Lorenzo Mangubat](https://nycdatascience.com/student/lorenzo-mangubat/) - Engineer experienced in developing and scaling advanced semiconductor processes. Demonstrated ability to deconstruct problems and address root-causes through data-driven solutions.
- [Ken Bagaloyos](https://nycdatascience.com/student/ken-bagaloyos/) - Solutions oriented leader and team player with strong analytical skills and experience in driving desired results.
- [Nicole Wang](https://nycdatascience.com/student/nicole-wang/) - I am a product-driven analyst at heart with an appreciation for experimentation, structured thinking, statistics, and using data to make sense of what happen.
- [Caroline Keough](https://nycdatascience.com/student/caroline-keough/) - I am a data scientist with a passion for science and sustainability. I am always up for a new challenge and strive to make a meaningful positive impact.
- [Hyun-Chae Chad Loh](https://nycdatascience.com/student/hyun-chae-chad-loh/)
- [Chance Xu](https://nycdatascience.com/student/chance-xu/)
- [Theodore Choi](https://nycdatascience.com/student/theodore-choi/)
- [Jessica Marie Rodriguez](https://nycdatascience.com/student/jessica-marie-rodriguez/)
- [Srikar Pamidi](https://nycdatascience.com/student/srikar-pamidi/)
- [Jennifer Anderson](https://nycdatascience.com/student/jennifer-anderson/)
- [Hyejin Kim](https://nycdatascience.com/student/hyejin-kim/)
- [Rishi Goutam](https://nycdatascience.com/student/rishi-goutam/)
- [Tigran Vardanyan](https://nycdatascience.com/student/tigran-vardanyan/) - Data Scientist and experienced Financial Analyst with a demonstrated history of working with large data.
- [Fangye Shi](https://nycdatascience.com/student/fangye-shi/)
- [James Goudreault](https://nycdatascience.com/student/james-goudreault/) - I'm passionate about using data to solve complex problems with demonstrated ability to plan, communicate, and achieve sustainable results.
- [Joe Lu](https://nycdatascience.com/student/joe-lu/)
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- [Hayley Caddes](https://nycdatascience.com/student/hayley-caddes/)
- [Eric Moore](https://nycdatascience.com/student/eric-moore/)
- [Elsa Vera](https://nycdatascience.com/student/elsa-vera/)
- [Colleen Tapen](https://nycdatascience.com/student/colleen-tapen/)
- [Brandon Deniz](https://nycdatascience.com/student/brandon-deniz/)
- [Aungshuman Zaman](https://nycdatascience.com/student/aungshuman-zaman/)
- [Ariani Herrera](https://nycdatascience.com/student/ariani-herrera/)
- [Alexander Romero](https://nycdatascience.com/student/alexander-romero/)
- [Yuerong Zhou](https://nycdatascience.com/student/yuerong-zhou/)
- [William Joo Lee](https://nycdatascience.com/student/william-joo-lee/)
- [Taino Pacheco](https://nycdatascience.com/student/taino-pacheco/)
- [Stephen Shafer](https://nycdatascience.com/student/stephen-shafer/)
- [Sanjay Pamnani](https://nycdatascience.com/student/sanjay-pamnani/)
- [Sam Marks](https://nycdatascience.com/student/sam-marks/)
- [Olga Yangol](https://nycdatascience.com/student/olga-yangol/)
- [Michael Caballero](https://nycdatascience.com/student/michael-caballero/)
- [Katie Sohn](https://nycdatascience.com/student/katie-sohn/)
- [Josh Vichare](https://nycdatascience.com/student/josh-vichare/)
- [Jacob Ralston](https://nycdatascience.com/student/jacob-ralston/)
- [Igor Gitlevich](https://nycdatascience.com/student/igor-gitlevich/)
- [Bruce Chyi](https://nycdatascience.com/student/bruce-chyi/)
- [Henry Chau](https://nycdatascience.com/student/henry-chau/)
- [Gurminder Kaur](https://nycdatascience.com/student/gurminder-kaur/)
- [Guilherme Strachan](https://nycdatascience.com/student/guilherme-strachan/)
- [Franklin Dickinson](https://nycdatascience.com/student/franklin-dickinson/)
- [Felipe Da Silva Santos](https://nycdatascience.com/student/felipe-da-silva-santos/)
- [Hengchang (Jacky) Liu](https://nycdatascience.com/student/hengchang-jacky-liu/)
- [Emanuel Kamali](https://nycdatascience.com/student/emanuel-kamali/)
- [Dragos Ilas](https://nycdatascience.com/student/dragos-ilas/)
- [Bircan Buyukdag](https://nycdatascience.com/student/bircan-buyukdag/)
- [Benjamin Witte](https://nycdatascience.com/student/benjamin-witte/)
- [Antonio Salvador](https://nycdatascience.com/student/antonio-salvador/)
- [Akshit Arora](https://nycdatascience.com/student/akshit-arora/)
- [Akshay Vaghani](https://nycdatascience.com/student/akshay-vaghani/)
- [Zipporah Polinsky-Nagel](https://nycdatascience.com/student/zipporah-polinsky-nagel/)
- [Zhengqing Chen](https://nycdatascience.com/student/zhengqing-chen/)
- [Yicong Xu](https://nycdatascience.com/student/yicong-xu/)
- [Xinyu Ren](https://nycdatascience.com/student/xinyu-ren/)
- [Xiao Jia](https://nycdatascience.com/student/xiao-jia/)
- [William Kye](https://nycdatascience.com/student/william-kye/)
- [Wenchang Qian](https://nycdatascience.com/student/wenchang-qian/)
- [Weijie Deng](https://nycdatascience.com/student/weijie-deng/)
- [Neha Chanu](https://nycdatascience.com/student/neha-chanu/)
- [Neeraj Tiwari](https://nycdatascience.com/student/neeraj-tiwari/)
- [Nan Liu](https://nycdatascience.com/student/nan-liu/)
- [Michael Goldman](https://nycdatascience.com/student/michael-goldman/)
- [Michael Chin](https://nycdatascience.com/student/michael-chin/)
- [Merle Strahlendorf](https://nycdatascience.com/student/merle-strahlendorf/)
- [Marissa Joy](https://nycdatascience.com/student/marissa-joy/)
- [Kevin Hwang](https://nycdatascience.com/student/kevin-hwang/)
- [Kenny Moy](https://nycdatascience.com/student/kenny-moy/)
- [Donghyun Kang](https://nycdatascience.com/student/donghyun-kang-2/)
- [Daniel Bubb](https://nycdatascience.com/student/daniel-bubb/)
- [Chima Okwuoha](https://nycdatascience.com/student/chima-okwuoha/)
- [Andrew	Dodd](https://nycdatascience.com/student/andrewdodd-2/)
- [Yongguang Qin](https://nycdatascience.com/student/yongguang-qin/)
- [Andrew	Brainerd](https://nycdatascience.com/student/andrewbrainerd/)
- [Yiming Wu](https://nycdatascience.com/student/yiming-wu/)
- [Neuton Fonseca](https://nycdatascience.com/student/neuton-fonseca/)
- [Henry Crosby](https://nycdatascience.com/student/henry-crosby/)
- [Daniel Park](https://nycdatascience.com/student/daniel-park/)
- [Gwendolyn Fernandez](https://nycdatascience.com/student/gwendolyn-fernandez/)
- [Iman Singh](https://nycdatascience.com/student/iman-singh/)
- [Josh Yoon](https://nycdatascience.com/student/josh-yoon/)
- [Kathryn	Bryant](https://nycdatascience.com/student/kathrynbryant/)
- [David Kogan](https://nycdatascience.com/student/david-kogan/)
- [Quentin	Picard](https://nycdatascience.com/student/quentinpicard/)
- [Dimitri Liakhovitski](https://nycdatascience.com/student/dimitri-liakhovitski/)
- [Hans Lau](https://nycdatascience.com/student/hans-lau/)
- [Yinan Jiang](https://nycdatascience.com/student/yinan-jiang/)
- [William Fallon](https://nycdatascience.com/student/william-fallon/)
- [Mitchell	Hung](https://nycdatascience.com/student/mitchellhung/)
- [Jing Wang](https://nycdatascience.com/student/jing-wang/)
- [Andre Toujas](https://nycdatascience.com/student/andre-toujas/)
- [Ziqiao Liu](https://nycdatascience.com/student/ziqiao-cheryl-liu/)
- [Malavica Sridhar](https://nycdatascience.com/student/malavica-sridhar/)
- [Ningxi Xu](https://nycdatascience.com/student/ningxi-xu/)
- [Jack Enyeart](https://nycdatascience.com/student/jack-enyeart/)
- [Shu Liu](https://nycdatascience.com/student/shu-liu-3/)
- [Wei Liu](https://nycdatascience.com/student/wei-liu/)
- [Julia Goldstein](https://nycdatascience.com/student/julia-goldstein/)
- [Mike Ghoul](https://nycdatascience.com/student/mike-ghoul/)
- [Vahe Voskerchyan](https://nycdatascience.com/student/vahe-voskerchyan-2/)
- [Scott Dobbins](https://nycdatascience.com/student/scott-dobbins/)
- [Yuxuan Hu](https://nycdatascience.com/student/yuxuan-hu/)
- [Jason Liu](https://nycdatascience.com/student/paul-grech-5/)
- [Punam Katariya](https://nycdatascience.com/student/paul-grech-3/)
- [Sumanth Reddy](https://nycdatascience.com/student/sumanth-reddy/)
- [Shin Chin](https://nycdatascience.com/student/shin-chin/)
- [Denis Nguyen](https://nycdatascience.com/student/denis-nguyen/)
- [Aravind Kolumum Raja](https://nycdatascience.com/student/aravind-kolumum-raja/)
- [William Zhou](https://nycdatascience.com/student/william-zhou/)
- [Claire Keser](https://nycdatascience.com/student/claire-vignon-keser/)
- [Mayank Shah](https://nycdatascience.com/student/mayank-shah/)
- [Jhonasttan Regalado](https://nycdatascience.com/student/jhonasttan-regalado/)
- [Samuel Trost](https://nycdatascience.com/student/samuel-trost/)
- [Patrick Masi-Phelps](https://nycdatascience.com/student/patrick-masi-phelps/)
- [Nathalie	Cohen](https://nycdatascience.com/student/nathaliecohen/)
- [William Markowitz](https://nycdatascience.com/student/william-markowitz/)
- [Aarsh Sachdeva](https://nycdatascience.com/student/aarsh-sachdeva/)
- [Carlos Salas Najera](https://nycdatascience.com/student/carlos-salas-najera/)
- [Ho Fai Wong](https://nycdatascience.com/student/ho-fai-wong/)
- [Wendy Yu](https://nycdatascience.com/student/wendy-yu/)
- [Xinyuan Wu](https://nycdatascience.com/student/xinyuan-andrew-wu/)
- [Lydia Kan](https://nycdatascience.com/student/lydia-kan/)
- [Kyle Gallatin](https://nycdatascience.com/student/kyle-gallatin/)
- [Jessie Gong](https://nycdatascience.com/student/jessie-gong/)
- [Jason Chen](https://nycdatascience.com/student/jason-chen/)
- [Andrew Rubino](https://nycdatascience.com/student/andrew-rubino/)
- [Mark Schott](https://nycdatascience.com/student/mark-schott/)
- [Mohammad Haseeb Durrani](https://nycdatascience.com/student/mohammad-haseeb-durrani/)
- [Fouad Yared](https://nycdatascience.com/student/fouad-yared/)
- [Chen Trilnik](https://nycdatascience.com/student/chen-trilnik/)
- [Rob Castellano](https://nycdatascience.com/student/rob-castellano/)
- [Christopher Behrens](https://nycdatascience.com/student/christopher-behrens/)
- [Timothy Schmeier](https://nycdatascience.com/student/paul-grech-4/)
- [Andrew Nichols](https://nycdatascience.com/student/andrew-nichols/)
- [Sundar Pradeep](https://nycdatascience.com/student/joseph-lee/)
- [Sylvie Lardeux](https://nycdatascience.com/student/sylvie-lardeux/)
- [Malcolm Hess](https://nycdatascience.com/student/malcolm-hess/)
- [Alex Adler](https://nycdatascience.com/student/alex-alder/)
- [Korrigan Clark](https://nycdatascience.com/student/korrigan-clark/)
- [Julian Asano](https://nycdatascience.com/student/paul-grech-6/)
- [Sara Zeid](https://nycdatascience.com/student/sara-zeid/)
- [Alexander Singal](https://nycdatascience.com/student/alexander-singal/)
- [Eszter Schoell](https://nycdatascience.com/student/eszter-schoell/)
- [Joseph Russo](https://nycdatascience.com/student/joseph-russo/)
- [James Hedges](https://nycdatascience.com/student/paul-grech/)
- [Alejandra Jaimes](https://nycdatascience.com/student/alejandra-jaimes/)
- [Bin Fang](https://nycdatascience.com/student/bin-fang-2/)
- [Philip Moy](https://nycdatascience.com/student/paul-grech-2/)
- [Dani Ismail](https://nycdatascience.com/student/dani-ismail/)
- [Pokman Cheung](https://nycdatascience.com/student/pokman-cheung/)
- [Nicolas Girod](https://nycdatascience.com/student/nicolas-girod/)
- [Xavier Capdepon](https://nycdatascience.com/student/xavier-capdepon/)
- [Tamara Osifchin](https://nycdatascience.com/student/tamara-osifchin/)
- [John Montroy](https://nycdatascience.com/student/john-montroy/)
- [Joe Eckert](https://nycdatascience.com/student/joe-eckert/)
- [Joseph Lee](https://nycdatascience.com/student/joseph-lee-2/)
- [Jacob Lehrhoff](https://nycdatascience.com/student/jacob-lehrhoff/)
- [Samara Bliss](https://nycdatascience.com/student/samara-bliss/)
- [Jean-Francois Darre](https://nycdatascience.com/student/jean-francois-darre/)
- [David Comfort](https://nycdatascience.com/student/david-comfort/)
- [William Nate Aiken](https://nycdatascience.com/student/william-nate-aiken/)
- [Brian Saindon](https://nycdatascience.com/student/brian-saindon/)
- [Paul Grech](https://nycdatascience.com/student/paul-grech-7/)
- [Stephen Penrice](https://nycdatascience.com/student/stephen-penrice/)
- [Thomas Kolasa](https://nycdatascience.com/student/thomas-kolasa/)
- [Brett Amdur](https://nycdatascience.com/student/brett-amdur/)
- [Satish Joshi](https://nycdatascience.com/student/satish-joshi/)
- [Yun-Ju Huang](https://nycdatascience.com/student/yun-ju-huang/)
- [Wansang Lim](https://nycdatascience.com/student/wansang-lim/)
- [Bin Lin](https://nycdatascience.com/student/bin-lin/)
- [Tom Walsh](https://nycdatascience.com/student/tom-walsh/)
- [Michael Todisco](https://nycdatascience.com/student/michael-todisco/)
- [Ablat Tursun](https://nycdatascience.com/student/ablat-tursun/)
- [Ashwin Swamy](https://nycdatascience.com/student/ashwin-swamy/)
- [Matt Samelson](https://nycdatascience.com/student/matt-samelson/)
- [Adam Owens](https://nycdatascience.com/student/adam-owens/)
- [Sung Pil Moon](https://nycdatascience.com/student/sung-pil-moon/)
- [Sricharan Maddineni](https://nycdatascience.com/student/sricharan-maddineni/)
- [Thomas Boulenger](https://nycdatascience.com/student/thomas-boulenger/)
- [Adam Cone](https://nycdatascience.com/student/adam-cone/)
- [Arda Berkay Kosar](https://nycdatascience.com/student/arda-berkay-kosar/)
- [Belinda Kanpetch](https://nycdatascience.com/student/belinda-kanpetch/)
- [Hayes Cozart](https://nycdatascience.com/student/hayes-cozart/)
- [Ismael Jaime Cruz](https://nycdatascience.com/student/ismael-jaime-cruz/)
- [Joseph Wang](https://nycdatascience.com/student/joseph-wang/)
- [Kyle Szela](https://nycdatascience.com/student/kyle-szela/)
- [Lanfa (Frank) Wang](https://nycdatascience.com/student/lanfa-frank-wang/)
- [Radhey Shyam](https://nycdatascience.com/student/radhey-shyam/)
- [Ruonan Ding](https://nycdatascience.com/student/ruonan-ding/)
- [Steven Ginzberg](https://nycdatascience.com/student/steven-ginzberg/)
- [Taraqur Rahman](https://nycdatascience.com/student/taraqur-rahman/)
- [Wanda Wang](https://nycdatascience.com/student/wanda-wang/)
- [Yannick Kimmel](https://nycdatascience.com/student/yannick-kimmel/)
- [Zachary Escalante](https://nycdatascience.com/student/zachary-escalante/)
- [Yunrou Gong](https://nycdatascience.com/student/yunrou-gong-2/)
- [Will Bartlett](https://nycdatascience.com/student/will-bartlett/)
- [Yufei Yue](https://nycdatascience.com/student/yufei-yue-2/)
- [Venkatesh Subramaniam](https://nycdatascience.com/student/venkatesh-subramaniam-2/)
- [Tyler Knutson](https://nycdatascience.com/student/tyler-knutson-2/)
- [Shuo Zhang](https://nycdatascience.com/student/shuo-zhang-2/)
- [Shuheng Li](https://nycdatascience.com/student/shuheng-li-2/)
- [Shu Liu](https://nycdatascience.com/student/shu-liu-2/)
- [Sharan Duggal](https://nycdatascience.com/student/sharan-duggal-2/)
- [Samriddhi Shakya](https://nycdatascience.com/student/samriddhi-shakya-2/)
- [Miaozhi Yu](https://nycdatascience.com/student/miaozhi-yu-2/)
- [Jielei Zhu](https://nycdatascience.com/student/jielei-zhu/)
- [Jiaxu Luo](https://nycdatascience.com/student/jiaxu-luo-2/)
- [Greg Domingo](https://nycdatascience.com/student/greg-domingo/)
- [Diego De Lazzari](https://nycdatascience.com/student/diego-de-lazzari-2/)
- [Deepak Khurana](https://nycdatascience.com/student/deepak-khurana-2/)
- [Danli Zeng](https://nycdatascience.com/student/danli-zeng-2/)
- [Fangzhou Cheng](https://nycdatascience.com/student/fangzhou-cheng/)
- [Ben Townson](https://nycdatascience.com/student/ben-townson/)
- [Anne Song](https://nycdatascience.com/student/anne-song-2/)
- [Anne Chen](https://nycdatascience.com/student/anne-chen/)
- [Tzu-Yu Chen](https://nycdatascience.com/student/tzu-yu-chen/)
- [Yuan Alex Li](https://nycdatascience.com/student/alex-yuan-li/)
- [Yehui He](https://nycdatascience.com/student/yehui-he/)
- [Yisong Tao](https://nycdatascience.com/student/yisong-tao/)
- [Valerie Molignano](https://nycdatascience.com/student/valerie-molignano/)
- [Regan Yee](https://nycdatascience.com/student/regan-yee/)
- [Oamar Nanaig Y. Gianan](https://nycdatascience.com/student/oamar-nanaig-y-gianan/)
- [Nelson Chen](https://nycdatascience.com/student/nelson-chen/)
- [Nick Talavera](https://nycdatascience.com/student/nick-talavera/)
- [Nathan Stevens](https://nycdatascience.com/student/nathan-stevens/)
- [Lei Zhang](https://nycdatascience.com/student/lei-zhang/)
- [Kawtar Belmkaddem](https://nycdatascience.com/student/kawtar-belmkaddem/)
- [Joshua Litven](https://nycdatascience.com/student/joshua-litven/)
- [Joseph van Bemmelen](https://nycdatascience.com/student/joseph-van-bemmelen/)
- [Jordan Waters](https://nycdatascience.com/student/jordan-waters/)
- [Jason Sippie](https://nycdatascience.com/student/jason-sippie/)
- [James B. Lee](https://nycdatascience.com/student/james-b-lee/)
- [Frederick Cheung](https://nycdatascience.com/student/frederick-cheung/)
- [Dina Mirijanian](https://nycdatascience.com/student/dina-mirijanian/)
- [Cristina Andronescu](https://nycdatascience.com/student/cristina-andronescu/)
- [Anne Christine Valle](https://nycdatascience.com/student/anne-christine-valle/)
- [Yvonne Lau](https://nycdatascience.com/student/yvonne-lau/)
- [Xu Gao](https://nycdatascience.com/student/xu-gao/)
- [William Best](https://nycdatascience.com/student/william-best/)
- [Tom Hunter](https://nycdatascience.com/student/tom-hunter/)
- [Tingting Chang](https://nycdatascience.com/student/tingting-chang/)
- [Marc Fridson](https://nycdatascience.com/student/marc-fridson/)
- [Johnna Ayres](https://nycdatascience.com/student/johnna-ayres/)
- [Jake Bialer](https://nycdatascience.com/student/jake-bialer/)
- [Glen Ferguson](https://nycdatascience.com/student/glen-a-ferguson/)
- [Ethan Weber](https://nycdatascience.com/student/ethan-weber/)
- [Dodge Coates](https://nycdatascience.com/student/dodge-coates/)
- [Daniel J. Epstein](https://nycdatascience.com/student/daniel-j-epstein/)
- [Christopher Capozzola](https://nycdatascience.com/student/christopher-capozzola/)
- [Spencer James Stebbins](https://nycdatascience.com/student/spencer-james-stebbins/)
- [Arjun Singh Yadav](https://nycdatascience.com/student/arjun-singh-yadav/)
- [Andrew Feierman](https://nycdatascience.com/student/andrew-feierman/)
- [Stefan Heinz](https://nycdatascience.com/student/stefan-heinz/)
- [Amit Sahoo](https://nycdatascience.com/student/amit-sahoo/)
- [Abhishek Desai](https://nycdatascience.com/student/abhishek-desai/)
- [Nanda Rajarathinam](https://nycdatascience.com/student/nanda-rajarathinam/)
- [Linlin Chen](https://nycdatascience.com/student/linlin-chen/)
- [Jingyu Zhang](https://nycdatascience.com/student/jingyu-zhang-2/)
- [Jurgen de Jager](https://nycdatascience.com/student/jurgen-de-jager/)
- [Jonathan Liu](https://nycdatascience.com/student/jonathan-liu/)
- [Christian Holmes](https://nycdatascience.com/student/christian-holmes-2/)
- [Charles Leung](https://nycdatascience.com/student/charles-leung-2/)
- [Bernard Ong](https://nycdatascience.com/student/bernard-ong-2/)
- [Reza Rad](https://nycdatascience.com/student/reza-rad/)
- [Robin Gane-McCalla](https://nycdatascience.com/student/robin-gane-mccalla/)
- [Fu-Yuan Cheng](https://nycdatascience.com/student/fu-yuan-cheng/)
- [Samuel O’Mullane](https://nycdatascience.com/student/samuel-omullane/)
- [Yabin Fan](https://nycdatascience.com/student/yabin-fan/)
- [Grant Webb](https://nycdatascience.com/student/grant-webb/)
- [Jack Yip](https://nycdatascience.com/student/jack-yip/)
- [Rachel Kogan](https://nycdatascience.com/student/rachel-kogan/)
- [Wann-Jiun Ma](https://nycdatascience.com/student/wann-jiun-ma/)
- [Vahe Voskerchyan](https://nycdatascience.com/student/vahe-voskerchyan/)
- [Michael Winfield](https://nycdatascience.com/student/michael-winfield/)

## Advisor

- [Andreas Muller](https://nycdatascience.com/advisor/advisor-1/)
- [Owen Zhang](https://nycdatascience.com/advisor/advisor-2/)
- [Igor Elbert](https://nycdatascience.com/advisor/advisor-3/)
- [Ramnath Vaidyanathan](https://nycdatascience.com/advisor/advisor-4/)
- [Max Kuhn](https://nycdatascience.com/advisor/max-kuhn/)
- [Joel Gurin](https://nycdatascience.com/advisor/joel-gurin/)

## Instructor

- [Jonathan Presley](https://nycdatascience.com/instructors/jonathan-presley/) - Jonathan is an award-winning public health professional with a certification in data science dedicated to data-based decision-making and efficiency. With nine years of combined experience in scientific research, biotechnology, education, and healthcare, he has developed a variety of skills in research, policy, program development and implementation, monitoring and evaluation, capacity building, and analytics. Jonathan's curiosity Jonathan is an award-winning public health professional with a certification in data science dedicated to data-based decision-making and efficiency.
- [Cole Ingraham](https://nycdatascience.com/instructors/cole-ingraham/)
- [Liz Klobusicky](https://nycdatascience.com/instructors/liz-klobusicky/)
- [Kyle Gallatin](https://nycdatascience.com/instructors/kyle-gallatin/) - Kyle Gallatin is currently a software engineer on the machine learning platform team at Etsy. In this role, Kyle is redesigning existing ML systems with a focus on ML model training, real-time model serving, MLOps processes, and model governance. Kyle spends his free time teaching and volunteering within the ML space. He also writes articles Kyle Gallatin currently serves as the Software Engineer @Machine Learning Infrastructure at Etsy. Kyle is also an alumnus from NYC Data Science Academy, 2017, 8th cohort of Data Science Academy. He has been a mentor for data science bootcamp since 2018!
- [David Kressley](https://nycdatascience.com/instructors/david-kressley/)
- [Sumanth Reddy](https://nycdatascience.com/instructors/sumanth-reddy/)
- [Tristan Dresbach](https://nycdatascience.com/instructors/tristan-dresbach/) - Tristan Dresbach is a data scientist with a BA in economics and a proven track record of using data to drive significant and tangible business results. She has hands-on experience in web-scraping, data visualization, supervised and unsupervised predictive modeling, as well as optimization. Tristan Dresbach is a data scientist with a BA in economics and a proven track record of using data to drive significant and tangible business results. She has hands-on experience in web-scraping, data visualization, supervised and unsupervised predictive modeling, as well as optimization.
- [David Corrigan](https://nycdatascience.com/instructors/david-corrigan/) - David is assistant director at Sema4, a precision medicine company! Previously Researcher and data scientist with a doctorate degree in Microbiology and Immunology from Columbia University (2018). Enrolled in an immersive, 12-week Data Science Bootcamp (NYC Data Science Academy) after graduation to refine and develop skills in data science. Researcher and data scientist with a doctorate degree in Microbiology and Immunology from Columbia University (2018). Enrolled in an immersive, 12-week Data Science Bootcamp (NYC Data Science Academy) after graduation to refine and develop skills in data science.
- [Tolga Akiner](https://nycdatascience.com/instructors/tolga-akiner/)
- [Hasan Aljabbouli](https://nycdatascience.com/instructors/hasan-aljabbouli/)
- [Stella Kim](https://nycdatascience.com/instructors/stella-kim/) - Stella Kim is proficient in Python, R, and SQL, and is skilled in data analytics, visualization, machine learning, and statistical methodology.
- [Sam Audino](https://nycdatascience.com/instructors/sam-audino/)
- [Mark Martinez](https://nycdatascience.com/instructors/mark-martinez/)
- [Yvonne Lau](https://nycdatascience.com/instructors/yvonne-lau/) - Yvonne Lau earned her B.A. degree in Economics and Mathematics at Yale University. Hailing from Rio de Janeiro, Brazil, she became interested in data science after serving as a Data Analyst for a nonprofit organization and realizing the power and fun of working with data. As an aspiring data scientist, Yvonne aims to apply analytics Yvonne Lau earned her B.A. degree in Economics and Mathematics at Yale University. Hailing from Rio de Janeiro, Brazil, she became interested in data science after serving as a Data Analyst for a nonprofit organization and realizing the power and fun of working with data.
- [Denis Nguyen](https://nycdatascience.com/instructors/denis-nguyen/) - Denis is a Bootcamp graduate and has been working in the analytics space for over 2 years. With a growing interest in business and management, he obtained his MBS in Analytics from Rutgers University and works on performance improvement through workflow automation. He enjoys sparking creativity in students and helping them think about how to With a growing interest in business and management, Denis Nguyen obtained his MBS in Analytics from Rutgers University and works on performance improvement through workflow automation.
- [Helen Zhang](https://nycdatascience.com/instructors/hellen-zhang/)
- [Matthew Kent](https://nycdatascience.com/instructors/matthew-kent/)
- [David Romoff](https://nycdatascience.com/instructors/david-romoff/)
- [Tony Schultz](https://nycdatascience.com/instructors/tony-schultz/)
- [Kathy Liu](https://nycdatascience.com/instructors/kathy-liu/)
- [Zeyu Zhang](https://nycdatascience.com/instructors/zeyu-zhang/)
- [Jon Krohn](https://nycdatascience.com/instructors/jon-krohn/)
- [Shu Yan](https://nycdatascience.com/instructors/shu-yan/)
- [Reece Heineke](https://nycdatascience.com/instructors/reece-heineke/)
- [Jake Bialer](https://nycdatascience.com/instructors/jake-bialer/)
- [Wes Aull](https://nycdatascience.com/instructors/wes-aull/)
- [Jing Guo](https://nycdatascience.com/instructors/jing-guo/)
- [Brennan Lodge](https://nycdatascience.com/instructors/brennan-lodge/)
- [Derek Darves-Bornoz](https://nycdatascience.com/instructors/derek-darves-bornoz/)

## Course Bundle

- [Data Science with Python](https://nycdatascience.com/course-bundles/data-science-with-python/)
- [Bootcamp Prep](https://nycdatascience.com/course-bundles/bootcamp-prep/)
- [Data Science Launchpad with Python](https://nycdatascience.com/course-bundles/data-science-launchpad-with-python/)
- [Data Science Mastery](https://nycdatascience.com/course-bundles/data-science-mastery/)
- [All Bundles](https://nycdatascience.com/course-bundles/all-classes/)

## Webinar

- [Readability Counts: Best Practices in Coding](https://nycdatascience.com/webinars/readability-counts-best-practices-in-coding/) - After building a project, it is easy to forget what your first thoughts were when beginning development. Writing effective code means considering your future self and others. How can someone expand on your ideas if they cannot speak your language? In this webinar, we will discuss popular Python coding conventions and learn how to incorporate them with data into your work to increase your code’s readability.
- [Designing and Implementing Production Machine Learning Systems](https://nycdatascience.com/webinars/designing-and-implementing-production-machine-learning-systems/)
- [Data Science with Pandas](https://nycdatascience.com/webinars/data-science-with-pandas-2/) - We will learn the operations surrounding creating an effective analysis and how to utilize the potential of Pandas.
- [Industry user cases presentation at NYC Data Science Academy (Collaboration with Dataiku)](https://nycdatascience.com/webinars/industry-user-cases-presentation-at-nyc-data-science-academy-collaboration-with-dataiku/) - We are glad to share with our alumni that we will have the first workshops through partnerships with Dataiku which focus on Data Science user cases.
- [A Collaborative and Interactive Space for Data Science](https://nycdatascience.com/webinars/a-collaborative-and-interactive-space-for-data-science/) - Northstar (A Novel System) is designed by famous scholars in the field to address all these problems. Let us hear how they are solving these problems
- [Beginner's Guide to data Science](https://nycdatascience.com/webinars/beginners-guide-to-data-science-3/) - The course demo will discuss the basics of data science tools and resources you can use when introducing yourself to data science.
- [Data Science with Pandas](https://nycdatascience.com/webinars/data-science-with-pandas/) - Pandas is a python package used for data manipulation. Whether you are trying to analyze a dataset of customers or aggregate county-level information to the state level, you will find Pandas extremely useful.
- [Large Language Models, GPT-3 and OpenAI](https://nycdatascience.com/webinars/large-language-models-gpt-3-and-openai/)
- [What is End-to-End Machine Learning and why do I need it?](https://nycdatascience.com/webinars/what-is-end-to-end-machine-learning-and-why-do-i-need-it/) - Learn more about data science with machine learning. Why machine learning is needed, and what are the benefits of the system.
- [Visualizing Information Like a (Designer) Data Scientist](https://nycdatascience.com/webinars/visualizing-information-like-a-designer-data-scientist/)
- [Working with Large Datasets as a Data Scientist (with Python)](https://nycdatascience.com/webinars/working-with-large-datasets-as-a-data-scientist-with-python/) - Learn how to deal with larger-than-memory datasets and also how to format python code using git hooks
- [How Strong is Your Machine Learning Model?](https://nycdatascience.com/webinars/how-strong-is-your-machine-learning-model-2/) - #post_excerptLearn about the concept of the likelihood function as it supervises models from logistic regression to deep learning.
- [From Fine Art Major at RISD to Machine Learning Engineer](https://nycdatascience.com/webinars/from-fine-art-major-at-risd-to-machine-learning-engineer/)
- [Choosing an Effective Data Visualization](https://nycdatascience.com/webinars/choosing-an-effective-data-visualization/)
- [Build a Career in the Data Science Field](https://nycdatascience.com/webinars/build-a-career-in-the-data-science-field/)
- [Learn Data Analysis with Pandas](https://nycdatascience.com/webinars/learn-data-analysis-with-pandas/)
- [AI-Powered Android App — Car Classification](https://nycdatascience.com/webinars/ai-powered-android-app-car-classification/)
- [How I became a Data Science Senior Consultant @ EY](https://nycdatascience.com/webinars/how-i-became-a-data-science-senior-consultant-ey/)
- [Applying Deep-learning to Solving Autonomous Driving](https://nycdatascience.com/webinars/applying-deep-learning-to-solving-autonomous-driving/)
- [Readability Counts: Best Practices in Python Coding](https://nycdatascience.com/webinars/readability-counts-best-practices-in-python-coding/)
- [A/B Testing for Data Science (with Python and R)](https://nycdatascience.com/webinars/a-b-testing-for-data-science-with-python-and-r/)
- [Effective Data Visualization with Python](https://nycdatascience.com/webinars/effective-data-visualization-with-python/)
- [Data Analysis with Pandas](https://nycdatascience.com/webinars/data-analysis-with-pandas/)
- [Open Source Scientific Python Tools with Makepath](https://nycdatascience.com/webinars/open-source-scientific-python-tools-with-makepath/)
- [Building Your First Shiny App](https://nycdatascience.com/webinars/building-your-first-shiny-app/)
- [Intro to Kubernetes by Kyle Gallatin](https://nycdatascience.com/webinars/intro-to-kubernetes-by-kyle-gallatin/)
- [Fireside chat and Q&A with Alumni](https://nycdatascience.com/webinars/fireside-chat-and-qa-with-alumni/)
- [Helping Companies use Amazon.com Product Review Information](https://nycdatascience.com/webinars/helping-companies-use-amazon-com-product-review-information/)
- [Interactive Dashboard of Geographical Mortgage Data Analysis](https://nycdatascience.com/webinars/interactive-dashboard-of-geographical-mortgage-data-analysis/)
- [Data Science Strategy and Mindset](https://nycdatascience.com/webinars/data-science-strategy-and-mindset/)
- [How to Automate your Cover Letter using Python](https://nycdatascience.com/webinars/how-to-automate-your-cover-letter-using-python/)
- [How Strong is Your Machine Learning Model?](https://nycdatascience.com/webinars/how-strong-is-your-machine-learning-model/)
- [#AMA: Ask Me Anything About The Remote/Live Online Bootcamp Experience](https://nycdatascience.com/webinars/ama-ask-me-anything-about-the-remote-live-online-bootcamp-experience/)
- [How to Web Scrape Jobs from Indeed.com](https://nycdatascience.com/webinars/how-to-web-scrape-jobs-from-indeed-com/)
- [Python & R Data Science Project Showcase by Ethan Zien](https://nycdatascience.com/webinars/python-r-data-science-project-showcase-by-ethan-zien/)
- [Python Coding and #AMA Session](https://nycdatascience.com/webinars/web-scraping-python-coding-and-ama-session/)
- [Opportunities at KPMG Digital Lighthouse](https://nycdatascience.com/webinars/opportunities-at-kpmg-digital-lighthouse/)

## Product categories

- [Data Visualization](https://nycdatascience.com/course-category/data-visualization/)
- [Online Courses](https://nycdatascience.com/course-category/online-courses/)
- [R](https://nycdatascience.com/course-category/r/)
- [Python](https://nycdatascience.com/course-category/python/)
- [Hadoop Spark](https://nycdatascience.com/course-category/hadoop-spark/)
- [Machine Learning](https://nycdatascience.com/course-category/machine-learning/)
- [Data Engineering](https://nycdatascience.com/course-category/data-engineering/)
- [Git](https://nycdatascience.com/course-category/git/)
- [Sql](https://nycdatascience.com/course-category/sql/)
- [Linux](https://nycdatascience.com/course-category/linux/)
- [Finance](https://nycdatascience.com/course-category/finance/)
- [Tableau](https://nycdatascience.com/course-category/tableau/)
- [Uncategorized](https://nycdatascience.com/course-category/uncategorized/)
- [Bootcamp Balance](https://nycdatascience.com/course-category/bootcamp-balance/)
- [Part Time Online](https://nycdatascience.com/course-category/part-time-online/)
- [Bootcamp Deposit](https://nycdatascience.com/course-category/bootcamp-deposit/)

## Product tags

- [R](https://nycdatascience.com/course-tag/r/)
- [Python](https://nycdatascience.com/course-tag/python/)
- [Hadoop](https://nycdatascience.com/course-tag/hadoop/)
- [Github](https://nycdatascience.com/course-tag/github/)
- [Spark](https://nycdatascience.com/course-tag/spark/)
- [Beginner](https://nycdatascience.com/course-tag/beginner/)
- [Workdays](https://nycdatascience.com/course-tag/workdays/)
- [Weekends](https://nycdatascience.com/course-tag/weekends/)
- [Bootcamp](https://nycdatascience.com/course-tag/bootcamp/)
- [Online](https://nycdatascience.com/course-tag/online/)
- [Intermediate](https://nycdatascience.com/course-tag/intermediate/)
- [Introductory](https://nycdatascience.com/course-tag/introductory/)
- [Data Engineering](https://nycdatascience.com/course-tag/data-engineering/)
- [Machine Learning](https://nycdatascience.com/course-tag/machine-learning/)
- [Data Science Bootcamp](https://nycdatascience.com/course-tag/data-science-bootcamp/)
- [Tableau](https://nycdatascience.com/course-tag/tableau/)
- [Data Visualization](https://nycdatascience.com/course-tag/data-visualization/)
- [Advanced](https://nycdatascience.com/course-tag/advanced/)
- [AI](https://nycdatascience.com/course-tag/ai/)

## FAQ Groups

- [Data Science Bootcamp](https://nycdatascience.com/faq/ds-bootcamp/)
- [Part-time Course](https://nycdatascience.com/faq/part-time-course/)
- [Online Data Science Bootcamp](https://nycdatascience.com/faq/online-data-science-bootcamp/)
- [Data Analytics](https://nycdatascience.com/faq/data-analytics/)
- [Combined Data Science](https://nycdatascience.com/faq/combined-data-science/)
- [AI Bootcamp](https://nycdatascience.com/faq/ai-bootcamp/)

## Curriculum Groups

- [Data Science Bootcamp V4](https://nycdatascience.com/curriculum/data-science-bootcamp-v4/)
- [Data Analytics Bootcamp](https://nycdatascience.com/curriculum/data-analytics-bootcamp/)
- [Combined Data Science](https://nycdatascience.com/curriculum/combined-data-science/)
- [Artificial Intelligence Bootcamp](https://nycdatascience.com/curriculum/artificial-intelligence-bootcamp/)

## Webinar Types

- [Career Development](https://nycdatascience.com/webinar/career-development/)
- [Instructor Workshop](https://nycdatascience.com/webinar/instructor-workshop/)
- [Open House](https://nycdatascience.com/webinar/open-house/)
- [Student Presentation](https://nycdatascience.com/webinar/student-presentation/)