Shawn Lee is a data scientist with nine years of experience turning ambiguous problems into actionable business decisions across transportation, food, education, and health. He blends rigorous statistical design and machine learning—particularly experimentation, time-series modeling (ARIMA) and tree-based methods—to improve forecasting and operational KPIs, most recently improving revenue projections by 21% at the University of San Francisco. Shawn has driven high-impact outcomes at scale, from identifying $227M in potential transit revenue and speeding report generation fourfold for a $9B portfolio to scaling delivery operations for a 1,300+ store food chain. Now based in San Francisco and contributing to restaurant booking systems on GitHub, he pairs technical fluency (SQL, Python, Snowflake, Tableau) with a knack for communicating results to executives. Outside work he refines his experimental mindset through board games and recipe-testing—a hint at his patient, iterative approach to complex problems.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Applied Economics, 4.0/4.0, Master of Science - MS, Applied Economics, 4.0/4.0 at University of San Francisco
Bachelor of Science (BS), Industrial Engineering, Cum Laude, Bachelor of Science (BS), Industrial Engineering, Cum Laude at University of the Philippines
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