Summary
Hangzhi Shi is a data scientist with nine years of experience applying rigorous statistical methods to healthcare and financial services, now driving data science at PayPal. With a Master’s in Statistics from Carnegie Mellon and a multidisciplinary undergraduate background in math, economics, and computer science, he blends deep quantitative rigor with product-focused analytics. He has led analytic initiatives at TransUnion and CVS Health and has hands-on experience as a research statistician in academic medicine, giving him a strong grounding in causal inference and clinical data. Colleagues know him for turning complex algorithmic analysis into actionable business insights and for pairing critical thinking with practical implementation. An early founder and former investment analyst, he brings entrepreneurial curiosity and cross-domain perspective to large-scale data problems.
9 years of coding experience
7 years of employment as a software developer
High School, High School at Nanjing Foreign Language School
Bachelor’s Degree Mathematics; Economics;Computer Science, Bachelor’s Degree Mathematics; Economics;Computer Science at Washington University in St. Louis
Master’s Degree Statistics, Master’s Degree Statistics at Carnegie Mellon University
English, Chinese, French