Summary
Kenny Kim is a data scientist with nine years of experience building experimentation frameworks, analytics pipelines, and business intelligence at companies including Meta, Microsoft, and Expedia. He leads experimentation and creator-economy analytics for FB Reels, has driven hypothesis-driven testing across mobile products, and translates complex datasets into actionable product recommendations. Trained in business and information systems at the University of Washington, he blends accounting-rooted rigor with hands-on skills in Python, R, SQL, Hive, Presto, Tableau and database management. Kenny often surfaces non-obvious signals—like marginal community user behavior or creator monetization levers—to inform product strategy and notifications. He also writes technical pieces for Towards Data Science and brings a maker’s curiosity from his GitHub identity as a designer and experimenter. Based in Seattle, he excels at connecting experimentation, data engineering, and product management to drive measurable outcomes.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Business Administration (BBA), Bachelor of Business Administration (BBA) at University of Washington, Michael G. Foster School of Business