Summary
Ruochen Yang is an applied economics graduate student at Georgetown with eight years of quantitative experience combining financial mathematics, data engineering, and econometric modeling. As a research assistant he scraped and processed financial filings for 50,000 companies, implemented linear, logistic and Fama–MacBeth regressions, and translated results into visual appendices supporting asset-pricing research. His background spans private banking and investment analysis in China and data-driven consulting in the U.S., where he built SQL pipelines, large-scale web scrapers, and Tableau dashboards to drive business recommendations that increased client profit. Actively seeking analyst roles, he brings a rare blend of academic rigor, hands-on data engineering, and practical experience evaluating funds and market expansion opportunities. An interesting detail: he applies both Chinese-market fund evaluation experience and large-sample Python/R workflows to bridge regulatory nuance with scalable empirical analysis.
8 years of coding experience
Master's degree, Applied Economics, Master's degree, Applied Economics at Georgetown University
Bachelor's degree, Financial Mathematics, Bachelor's degree, Financial Mathematics at University of California, Irvine