Ruochen Yang

Research Assistant at Georgetown University

Washington, District of Columbia, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
bookMaster's degree, Applied Economics, Master's degree, Applied Economics at Georgetown University
bookBachelor's degree, Financial Mathematics, Bachelor's degree, Financial Mathematics at University of California, Irvine
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Github Skills (1)

lossless5

Programming languages (1)

C++

Github contributions (5)

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ruocheny/MassComp

Nov 2017 - Jun 2018

a lossless compressor for mass spectrometry data
Contributions:12 commits, 1 PR, 7 pushes in 7 months
lossless
ruocheny/SCCN-LoG

Mar 2023 - Nov 2023

Contributions:2 pushes, 1 branch, 1 comment in 7 months
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