Summary
Yan Yan is a Staff Data Scientist with 11 years of experience applying machine learning to high-impact business problems across fintech and SaaS. Currently at Workstream, he progressed from Senior to Staff Data Scientist, building production ML systems and data-driven products. His background includes leading analytics and fraud/AML detection projects at DBS Bank, where he doubled unsecured lending fraud detection using XGBoost and scaled solutions on Spark for millions of transactions. He holds a Master of Data Science from UBC and a Computer Science honours degree from NUS, combining strong academic training with hands-on production engineering. Passionate about making technology improve people's lives, he also mentors data science capstones and has been selected for intensive Google Squared Data training, reflecting a blend of technical depth and industry recognition. An engineer who bridges research, big-data infrastructure, and operational ML, Yan excels at turning complex data into auditable, impactful systems.
11 years of coding experience
8 years of employment as a software developer
Master of Data Science, Master of Data Science at The University of British Columbia
Bachelor of Computing (Honours), Computer Science, Bachelor of Computing (Honours), Computer Science at National University of Singapore