Summary
Jinhang Yang is a data scientist based in Shenzhen with 11 years of analytical experience and current graduate training in Data Science at Columbia University. He has applied Python, R and SQL to build data pipelines and deliver business-focused insights across major tech and consulting firms, including Tencent Games, ByteDance, Deloitte and PwC. His work spans product analytics for internet services, e-commerce strategy, and prototyping industrial data infrastructure, demonstrating an ability to move from research to production. Fluent in both Chinese and English academic ecosystems (degrees from Central University of Finance and Economics, Peking University and UC Berkeley exchange), he blends rigorous statistical training with practical industry experience to improve user experiences. Less obvious: he has rotated between consulting, research and in-house product roles, giving him a rare perspective on how data-driven decisions scale across organizations.
11 years of coding experience
2 years of employment as a software developer
1-semester Study Aboard at Haas School of Business, 1-semester Study Aboard at Haas School of Business at University of California, Berkeley
Double Bachelor’s Degree, Economics, Double Bachelor’s Degree, Economics at 北京大学
Master of Science, Data Science, Master of Science, Data Science at Columbia University in the City of New York
Bachelor's degree, Applied Statistics (Financial Mathematics), Bachelor's degree, Applied Statistics (Financial Mathematics) at 中央财经大学