Summary
Po Chan is a Data Science Lead based in Hong Kong with a decade of experience turning large, complex datasets into business impact using advanced statistical methods and machine learning. He has led data science and AI efforts across retail, telecom, finance, and trading firms, building portfolio management and algorithmic trading systems as well as enterprise-grade ML pipelines. Technically fluent in Python/R, Databricks/PySpark and data warehousing, he combines research-driven approaches with production-focused system design and SDLC discipline. Current interests in explainable AI and decentralized blockchain-enabled ML signal a focus on trustworthy, next-generation AI deployments. Less obvious: his background spans both quantitative trading research and bank-level risk systems, giving him a rare blend of probabilistic modeling rigor and operational governance experience.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at 香港大學
Chinese, chinese(cantonese), English