Research Analyst - Data Science Predictive Analytics
Washington, District of Columbia, United States
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Summary
👤
Senior
🎓
Top School
Isaac Schmidt is a data scientist and research analyst with nine years of experience applying statistical modeling and predictive analytics to real-world problems, currently supporting U.S. Navy maintenance and readiness at CNA Corporation. He holds an MA and BA in Statistics from UC Berkeley, where he taught and led large data science courses, managed course staff, and helped develop curricula and lectures on topics from clustering to causal inference. Isaac combines strong Python and R expertise with practical data engineering and dashboarding skills, and has contributed extraction logic to the popular yt-dlp open-source project—adding support for platforms like ESPN and MLB. His background in urban-data research and sports analytics demonstrates a knack for translating messy, cross-domain data into actionable models and policy recommendations. Colleagues rely on him for end-to-end delivery: data collection, rigorous hypothesis testing, ML implementation, and concise briefings to senior leaders.
9 years of coding experience
2 years of employment as a software developer
Master of Arts - MA, Statistics, 4.0, Master of Arts - MA, Statistics, 4.0 at University of California, Berkeley
A feature-rich command-line audio/video downloader
Role in this project:
Back-end Developer & Extractor Maintainer
Contributions:22 reviews, 9 commits, 15 PRs in 7 months
Contributions summary:Isaac primarily contributed to the extraction logic for various video platforms within the `yt-dlp` project. Their work involved fixing extraction issues, adding support for new platforms such as ESPN and MLB, and extracting additional metadata like thumbnails and timestamps. This involved modifying Python code, implementing API interactions, and parsing HTML to retrieve video information, indicating a focus on maintaining and expanding the downloader's capabilities. Additionally, the user updated the extractor for fox and go.
Automatically creates game threads for r/CollegeBasketball
Contributions:1 review, 256 commits, 1 PR in 6 years 2 months
threads
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Isaac Schmidt - Research Analyst - Data Science Predictive Analytics