Rena Yuan is an economist and data scientist with four years of applied experience across federal agencies including USDA, GSA, and NASA, where she blends statistical rigor with data-driven policy analysis. Trained at the University of Virginia with an MS in Statistics, she moves comfortably between econometric modeling and practical data science workflows. At USDA she progressed from Presidential Management Fellow to Economist (Data Scientist), demonstrating rapid growth in public-sector analytics and program evaluation. Her GitHub contributions show hands-on full‑stack work—primarily frontend UX improvements and backend API tweaks—on the Lyrebird mobile testing project, signaling a rare mix of statistical expertise and production engineering. Based in Washington, D.C., she brings a policy-focused lens to technical problems and a track record of shipping user-facing improvements as well as analytic insights.
4 years of coding experience
4 years of employment as a software developer
High School, 4.42, High School, 4.42 at James Madison High School
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Virginia
Contributions:13 releases, 37 reviews, 39 commits in 6 months
Contributions summary:Rena primarily worked on the frontend of the Lyrebird project, as evidenced by numerous commits focused on updating and optimizing the checker-list view. These changes included adding UI elements, animations, and event handling. Additionally, the user contributed to the backend by modifying API endpoints and data structures related to the checker functionality and mock data rules, demonstrating a broad understanding of the project's codebase.
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