Summary
Huiying Li is a data-driven analytics professional with 11 years of experience applying statistical modeling and engineering rigor to fraud detection, risk analytics, and marketing analytics across major financial services firms. Currently a Customer Portfolio Consultant at Wells Fargo, she has built and operationalized predictive models, fraud monitoring systems, and portfolio performance tools using SAS, Hadoop/Hive, SQL, R and VBA. Her background combines a Ph.D. in Control Science and Engineering with an M.S. in Statistics, enabling her to translate complex stochastic and predictive techniques into practical business controls and early-warning systems. Notably, she has experience moving models from research into production—designing automated pipelines and DB solutions that improve efficiency and decision-making. Based in San Francisco, she blends deep statistical expertise with hands-on data engineering to support both strategic planning and day-to-day fraud management.
11 years of coding experience
8 years of employment as a software developer
M.S. Statistics, M.S. Statistics at University of Delaware
Ph.D. Control Science and Engineering, Ph.D. Control Science and Engineering at Nanjing University of Science and Technology