Summary
Han Lin is a data scientist with nine years of experience applying statistical rigor and scalable engineering to financial services and e-commerce problems. Currently at Amazon, he works on ML, deep learning, time-series forecasting, anomaly detection and experiment-driven optimization for supply chain, pricing and user growth, having previously built ETL pipelines and analytical frameworks as a BI engineer. He blends a Columbia M.A. in Statistics with strong hands-on skills in Python, Spark, SQL, Snowflake and AWS to move massive-data projects from prototype to production. Comfortable with both quantitative modeling and dashboarding, he has practical experience in multi-armed bandits and logistics optimization that complements his visualization and reporting background. Based in Bellevue, WA, Han brings a mix of research-minded statistical insight and production-grade engineering discipline that helps teams turn complex data into measurable business impact.
9 years of coding experience
7 years of employment as a software developer
Project Management, Project Management at Tianjin University
Master of Arts (M.A.) Statistics, Master of Arts (M.A.) Statistics at Columbia University
Bachelor’s Degree Engineering Management / Financial Mathematics, Bachelor’s Degree Engineering Management / Financial Mathematics at Shandong University
Chinese, English