Summary
Huan Zhang is a data scientist with 10 years of experience turning complex economic and product data into actionable insights, currently working on growth experiments at Stripe. He blends rigorous macroeconomic training from Johns Hopkins SAIS and hands-on data science fellowship experience to build models, dashboards, and robust data pipelines—skills honed across the IMF, World Bank, Convoy, and Stripe. At Convoy he drove measurable financial impact through pricing ML and experiment design, and at the IMF he authored multiple research papers and managed four major economic databases. He recently built a million-row wildfire risk system with predictive models and an interactive dashboard, demonstrating both large-scale data engineering and consumer-facing analytics. Comfortable communicating technical findings to senior stakeholders, he pairs domain knowledge in international economics with production ML and experimentation expertise.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.) Finance Accounting and Management, Bachelor of Arts (B.A.) Finance Accounting and Management at University of Nottingham
Data Science Fellow Data Science, Data Science Fellow Data Science at The Data Incubator
Summer Program Korean Language, Summer Program Korean Language at Ewha Womans University
Master of Arts (MA) International Economics, Master of Arts (MA) International Economics at Johns Hopkins School of Advanced International Studies (SAIS)
Spanish, Korean, English, Chinese