Summary
Jiawen Wei is a Predictive Inferential Analyst with nine years of analytics experience and five years focused on healthcare statistical analysis and clinical informatics. She designs, trains, and deploys predictive models (xgboost, lasso, random forest) and builds operational monitoring (PSI, Somers’ D) and forecasting solutions (ARIMA, Holt–Winters, Fourier) across multi-hospital systems. Comfortable across the stack, she combines strong SQL, R, Python, SAS, Power BI, Tableau and advanced Excel skills to translate claims and operational data into actionable clinical and financial insights. Her work has directly informed patient targeting, urgent care and ED outreach, and radiology staffing forecasts for 14 hospitals, demonstrating both technical rigor and domain impact. Trained in analytics (MBA/MS), she also contributes to curriculum development and process improvements, reflecting a habit of turning technical deliverables into teachable, repeatable solutions.
9 years of coding experience
Bachelor’s Degree, Communication (media market research & analysis), Bachelor’s Degree, Communication (media market research & analysis) at Communication University of China
Master of Business Administration (M.B.A.), Data Analytics, Master of Business Administration (M.B.A.), Data Analytics at University at Buffalo
Master of Science, Analytics, Master of Science, Analytics at Harrisburg University of Science and Technology
Master of Business Administration, minor in Analytics, Master of Business Administration, minor in Analytics at University at Buffalo, the State University of New York
Chinese, English