Summary
Ming Zhong is a Senior Data Scientist with 8 years of experience building predictive models and scalable ML pipelines for global retail operations, currently driving loyalty and marketing analytics at Circle K in Tempe. With an MA in Statistics from Columbia and an MS in Computer Science underway at Georgia Tech, he blends rigorous statistical thinking with applied engineering to move models from prototype to production. His work spans merchandise analytics, real estate, and loyalty domains within Circle K, reflecting a track record of delivering measurable business impact across diverse use cases. Earlier roles at Rokt and Roche sharpened his product-facing analytics and automation skills, improving ad conversion and reporting workflows using Python and Tableau. He pairs a collaborative, product-minded approach with hands-on experimentation as a Georgia Tech research assistant, exploring scalable solutions beyond standard predictive tasks. Colleagues describe him as someone who translates complex statistical methods into practical, operational insights that scale across global systems.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Finance General, Bachelor of Science - BS Finance General at University of Macau
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Master of Arts - MA Statistics, Master of Arts - MA Statistics at Columbia University
Chinese, English, Chinese