Summary
Lingyan Ruan is a data scientist with a decade of hands-on experience building predictive models and analytics for high-scale enterprises, currently applying advanced modeling at Microsoft from a foundation of roles at Amazon, T-Mobile, Citi, and Bank of America. She specializes in credit and fraud risk, lifetime customer analytics, uplift and survival modeling, and has repeatedly translated complex statistical research into production scoring systems and business decisions. Her PhD-level statistics background enables rigorous model development—from multivariate time series and Cox models to random forests and real-time classifiers—while keeping a pragmatic focus on monitoring and model validity. At Amazon she led real-time fraud scoring for massive transaction volumes; at T-Mobile she combined survival analysis, decision trees, and uplift approaches to optimize collections and marketing. Based in Bellevue, WA, she brings both breadth across industries and depth in risk analytics, with a track record of turning novel statistical ideas into company-wide standards. An oft-overlooked strength is her ability to bridge technical rigor and cross-functional communication, turning model outputs into actionable business metrics.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), statistics, Doctor of Philosophy (PhD), statistics at Georgia Institute of Technology
Bachelor, Statistics, Bachelor, Statistics at University of Science and Technology of China
English, Chinese