Zhang Wang is a data scientist with 10 years of experience specializing in product analytics, user growth, and monetization strategies for large consumer platforms. Currently at TikTok, he defines key metrics, runs experiments, and builds end-to-end data strategies that drive e-commerce seller and creator growth while now focusing on identity, signal, and measurement for monetization. His background includes BI and analytics roles at Amazon and IRI, where he translated big data into actionable market and product insights for sellers and CPG clients. Trained at Carnegie Mellon and Washington University in St. Louis, he blends rigorous statistical foundations with practical product-minded analysis. Colleagues rely on him to turn ambiguous business questions into measurable experiments and clear recommendations—a skill reflected in a concise, Python-first approach to problem solving.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Business Administration, Bachelor of Science - BS Business Administration at Carnegie Mellon University - Tepper School of Business
Master of Science - MS Analytics, Master of Science - MS Analytics at Washington University in St. Louis
Minor Architecture, Minor Architecture at Carnegie Mellon University
Contributions:7 commits, 1 PR, 7 pushes in 3 months
pythondjangodjango-webechartsmongodb
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