Summary
Mei Ming is a Senior Data Scientist with 10 years of experience applying machine learning, statistical modeling, and analytics to drive data-informed decisions across healthcare and insurance. Currently at UnitedHealth Group and formerly a senior analytics lead at HCSC, she has a strong track record deploying advanced models into operational environments and translating stakeholder needs into impactful solutions. Her background bridging clinical research and analytics—PhD work in internal medicine and an MS in Analytics from the University of Chicago—gives her unusual domain depth for healthcare-focused data science. She pairs hands-on Python, SQL, and Tableau expertise with experience in data quality and productionization from roles at University of Chicago Medicine. Mei also brings a systems-level curiosity (noted by an interest in Android framework performance on GitHub) that helps her optimize model and platform performance, especially in cross-functional settings. Colleagues rely on her to turn complex clinical and business problems into practical, measurable outcomes.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Pathology and pathophysiology, Master's degree, Pathology and pathophysiology at Wuhan University
Master’s Degree, Master of Science in Analytics, Master’s Degree, Master of Science in Analytics at The University of Chicago
English, chinese (madarin)