Summary
Xiaoyu Yang is a Senior Data Scientist with 8+ years of experience turning experimentation, causal inference, and machine learning into measurable business impact across healthcare, insurance, and digital media. Based in New York, she has led cross-functional teams to deploy production models (including a Keras/TensorFlow multi-class neural net with 87% AUC) and standardized experimentation frameworks that improved measurement accuracy by ~30%. Her work has driven large-scale behavior change—launching programs to 200K Medicare users that produced 35% behavior shifts and $5–7.5M in incremental medical cost savings—and she routinely applies Bayesian structural time series and advanced A/B/multivariate techniques when controls aren’t available. A hands-on technical leader and mentor, Xiaoyu blends rigorous statistical methods with product-minded execution, and she’s equally comfortable presenting strategy to executives as she is shipping models into production.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at University of International Business and Economics
Master of Science - MS Operations Research, Master of Science - MS Operations Research at Columbia University
Spanish, French