Yuxue Jiang

Data Scientist

San Francisco Bay Area United States
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Summary

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Yuxue Jiang is a data scientist with 10 years of experience combining business acumen and technical rigor to turn operational problems into measurable impact. She has driven high-impact projects at Uber, AxleHire and Kuaishou—building fraud detection rules that saved $50K/month, automating billing workflows to cut marketing effort by 75%, and improving driver operations by 20% through rating models and A/B testing. Proficient in Python, SQL, Hadoop, time-series and regularized models, she translates complex analyses into production-ready pipelines and cross-functional dashboards. Comfortable working with Product, Engineering and Operations, she pairs statistical modeling (LASSO, logistic regression, clustering, PCA) with practical feature engineering and real-time data integration. A Cornell-trained applied economist, she brings a quantitative, product-focused mindset that surfaces non-obvious levers for efficiency and revenue protection.
code10 years of coding experience
job2 years of employment as a software developer
bookMaster’s Degree, Applied Economics and Management---- Behavioral Finance, 3.77, Master’s Degree, Applied Economics and Management---- Behavioral Finance, 3.77 at Cornell University
bookBachelor’s Degree, Business/Managerial Economics, Accounting, Bachelor’s Degree, Business/Managerial Economics, Accounting at University of California, Los Angeles
languagesGerman
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Stackoverflow

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Github Skills (131)

ui-components10
html-editor10
ckeditor10
charting10
type-system10
svg10
wysiwyg10
bundler10
graph-visualization10
tinymce10
javascript10
react-components10
charts10
data-viz10
browser10

Programming languages (7)

TypeScriptJavaVueJavaScriptHTMLRich Text FormatDart

Github contributions (5)

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k644606347/jui

Jan 2019 - Apr 2025

Contributions:11 pushes, 1 branch, 3 comments in 6 years 3 months
k644606347/G6

Aug 2023 - Apr 2025

♾ A Graph Visualization Framework in JavaScript
Contributions:102 pushes, 9 branches in 1 year 7 months
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