Shannon Chan is a Principal Data Scientist with 11 years of experience building end-to-end data platforms and production ML systems at Carousell, where he launched the Data Team, set up ETL/BI pipelines, and now leads deep learning efforts for ads targeting, search, spam and recommendation. He combines product-minded experimentation (A/B testing and CTR modeling) with engineering rigor in ML infrastructure on Google Cloud, and has hands-on experience shaping search relevance in ElasticSearch and promoted listings bidding strategies. Prior roles span dynamic pricing, fraud detection and automated KPI/reporting systems, reflecting a knack for turning analytics into revenue and operational improvements. Outside work he tinkers with practical tools for friends and family and is a drone hobbyist who built his own drone and aspires to coordinate swarms—an example of his blend of curiosity and systems-level thinking.
10 years of coding experience
7 years of employment as a software developer
Master of Computing Artificial Intelligence, Master of Computing Artificial Intelligence at National University of Singapore
Bachelor's Degree Accounting and Finance, Bachelor's Degree Accounting and Finance at SGH Warsaw School of Economics
Victoria Junior College
Data Science, Data Science at NUS Overseas Colleges
Victoria Integrated Programme
Dunman High School
Bachelor's Degree Technopreneurship, Bachelor's Degree Technopreneurship at Stanford University
A Docker implementation of Celery running on Flask, managed with supervisord.
Contributions:16 commits, 2 PRs, 14 pushes in 1 year
pythonflaskdockersupervisorddocker-compose
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