Summary
Xinran Zhang is a Senior Data Scientist at TikTok Shop with eight years of experience blending quantitative finance, fintech, and data analytics. Trained in Operations Research at Columbia and with early exchange study at UC Berkeley, she brings rigorous modeling skills and hands-on Python/SQL expertise developed across roles at Goldman Sachs, asset management firms, and fintech startups. Her background spans financial modeling, credit-risk productization using location-based data, and algorithmic trading strategy development—she even backtested a private-placement strategy that produced >26% annualized returns. Comfortable translating complex analytics into business-facing materials, she has a proven track record of turning raw data into valuation, risk, and trading insights for both institutional and consumer finance contexts. Based in Shanghai, she combines cross-border finance experience with a product-oriented data science mindset focused on measurable impact.
9 years of coding experience
3 years of employment as a software developer
Exchange Program, Exchange Program at University of California, Berkeley
Bachelor of Economics Finance, Bachelor of Economics Finance at Beijing Jiaotong University
Master of Science - MS Operations Research, Master of Science - MS Operations Research at Columbia University
Chinese, English