Summary
Seng Chu is a Senior Data Scientist based in San Francisco with 8 years of analytical and engineering experience and over 4 years focused on production-grade ML solutions. At Dayforce he built feature engineering pipelines on Azure Databricks and Spark, shipped models for flight risk, turnover, burnout, and sales forecasting, and established bias/fairness detection and robust model validation practices. He pairs strong Python and statistics chops with practical cloud engineering, designing data science codebases and reviewing team code to drive reliable, scalable deployments. His background in chemical engineering and process optimization informs a data-driven approach to improving operational efficiency and metric design for thousands of clients. Seng also writes about data science, statistics, and Python, translating complex techniques into accessible insights for broader audiences.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Chemical Engineering, Bachelor of Science - BS, Chemical Engineering at University of California, Davis
Master of Science - MS, Data Science and Analytics, 4.0, Master of Science - MS, Data Science and Analytics, 4.0 at Georgia Institute of Technology
Chinese