Summary
John Huynh is a data scientist with over a decade of experience turning complex data into business impact, currently applying his skills at Apple after leading analytics and experimentation at Warner Bros. Games. He has a proven track record building A/B testing frameworks, scalable data pipelines, and predictive models that drove millions in incremental revenue and improved player data accuracy for tens of millions of users. At Kiavi he drove dramatic funnel improvements, automated migration processes, and delivered a 275% lift in newsletter click-through through a custom attribution model—demonstrating both analytical rigor and product-minded execution. Comfortable across SQL, Airflow, and experimentation tooling, he combines hands-on engineering with a business-first approach to metrics and decisioning. Based in San Francisco, he brings a rare blend of enterprise and gaming-industry experience that consistently converts experiments and insights into measurable ROI.
10 years of coding experience
7 years of employment as a software developer
B.S, Business Information Technology : Decision Support Systems, B.S, Business Information Technology : Decision Support Systems at Virginia Tech
Vietnamese, English