Summary
Yi Low is an analyst and data scientist with 11 years of cross-industry experience building production-grade data products and real-time ML systems, currently driving Workspace analytics at Google in Singapore. He has led end-to-end initiatives from credit and fraud platforms at Traveloka to operational ML and optimization projects at Merck, combining analytics, data engineering, and model monitoring. Comfortable across the stack, Yi ships real-time retrieval and prediction pipelines on GCP and writes production Python code that turns product ideas into measurable impact. He brings strong ownership, a history of taking lead roles, and a knack for translating messy business problems into scalable data solutions. Unusually, his background blends operations research (traveling salesman and allocation problems) with practical fraud and credit modeling, giving him both mathematical rigor and product sensibility. Currently pursuing a master’s in computer science at Georgia Tech, he’s focused on becoming an even stronger full-stack data scientist.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Mathematics and Statistics, Bachelor's Degree, Mathematics and Statistics at Nanyang Technological University
Exchange program, Mathematics and Statistics, Exchange program, Mathematics and Statistics at The University of Western Ontario
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Chinese