Summary
Ruoxi Wang is an Associate at Deloitte with a decade of cross-disciplinary experience applying data science, quantitative economics, and strategic consulting to finance and healthcare projects. She holds a MA in Quantitative Economics from UCLA and dual bachelor’s degrees in Economics and Mathematics, and combines strong academic rigor (multiple 3.9+ GPAs) with hands-on skills in SQL, Python, R, Tableau and PowerBI. Her work ranges from building retail substitution models using GloVe embeddings and MySQL to advising on Expected Credit Loss models for major banks, demonstrating both technical breadth and domain fluency. Ruoxi has delivered market research, financial models, and data-driven recommendations for internet hospitals and medical services, and translated analyses into operational prototypes for IT teams. She often leads small cross-functional teams and is comfortable moving models from exploratory NLP and ML work into client-facing dashboards and presentations. Based in Beijing, she brings a rare combination of deep quantitative training and practical consulting delivery across China and the U.S.
10 years of coding experience
Bachelor of Arts, Economics, 3.97, Bachelor of Arts, Economics, 3.97 at University of Colorado Denver
Master of Arts, Quantitative Economics, 3.9, Master of Arts, Quantitative Economics, 3.9 at 美国加州大学洛杉矶分校
Bachelor of Arts, Economics, 3.97, Bachelor of Arts, Economics, 3.97 at 中国农业大学