Summary
Patrick Zhao is a risk strategy advisor and data scientist with eight years of experience applying causal inference, predictive modeling, and experimentation to drive multimillion-dollar impact at Amazon and Ant Financial. He holds a PhD in Statistics from Northwestern, where his research provided rigorous inference for widely used targeting metrics like the LIFT curve, bridging theory and practical marketing analytics. Proficient in R, Python, SAS, SQL, Spark and TensorFlow, he combines deep statistical rigor with production-scale data engineering to deliver actionable insights. A CFA Level II candidate and invited speaker at the 2015 Data Science Conference, he communicates complex results clearly to business stakeholders. Patrick’s work focuses on long-term causal impact and customer behavior modeling across e-commerce and financial services, often turning subtle data signals into strategic advantage. Outside work he’s a two-city marathoner and has visited 20 U.S. national parks, reflecting endurance and a curiosity for exploration.
8 years of coding experience
3 years of employment as a software developer
PhD of Sciences, Statistics, 3.85/4.00, PhD of Sciences, Statistics, 3.85/4.00 at Northwestern University
Bachelor, Mathematics, 3.75/4.00, Bachelor, Mathematics, 3.75/4.00 at Zhejiang University
Chinese, English