Ravi Choudhary

Ravi Choudhary

Data Scientist @ Credit Karma

About Ravi Choudhary

Ravi Choudhary is a Data Scientist with extensive experience in machine learning and data analysis. He has worked at various organizations including Credit Karma, American Express, and Smule, and holds a Master of Science in Data Science from NYU.

Current Role at Credit Karma

Ravi Choudhary has been working as a Data Scientist at Credit Karma since 2021. He is based in the San Francisco Bay Area and has accumulated three years of experience in this role. His work primarily involves analyzing data to provide insights that enhance Credit Karma's financial services.

Previous Experience in Data Science

Before joining Credit Karma, Ravi worked at several organizations in data science and machine learning roles. He was a Data Scientist at American Express from 2017 to 2018 and at EXL from 2015 to 2017. Additionally, he served as a Machine Learning Engineer at Smule, Inc. from 2020 to 2021, and completed a Machine Learning Internship at SoFi in 2019.

Educational Background in Data Science

Ravi Choudhary studied at the NYU Center for Data Science, where he earned a Master of Science in Data Science from 2018 to 2020. Prior to this, he completed a Dual Degree in Mechanical Engineering (B.Tech + M.Tech) at the Indian Institute of Technology, Kharagpur from 2010 to 2015.

Research and Projects

Ravi has conducted significant research in various areas of data science. He worked on a project involving causal inference to analyze the relationship between critic reviews and movie revenue. Additionally, he contributed to cancer detection research through mammograms using computer vision techniques and developed algorithms for an enterprise text document search engine during his NLP research internship at NLMatics.

Technical Skills and Contributions

Ravi possesses strong technical skills in data visualization tools, particularly Tableau. He is proficient in deploying machine learning models using Docker and AWS. Moreover, he actively contributes to open-source projects on GitHub, showcasing his commitment to the data science community.

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