Patrick Cao is a Senior Data Science Consultant with nine years of experience helping regulated organizations embed practical, explainable analytics into audit, risk, and investment workflows. He combines hands-on Python, SQL, cloud and database work with a strong grounding in governance and privacy-constrained environments, delivering durable, stakeholder-aligned solutions. Patrick has led audit analytics and AI initiatives at a major bank and supported enterprise and academic economics teams, translating complex research and business questions into reliable, production-ready outputs. His background in financial economics and multiple advanced analytics and AI master’s credentials underpin a rigorous, decision-focused approach. Known for valuing clear problem definition and professional judgment, he often builds solutions that balance automation with explainability so they can be adopted long-term.
9 years of coding experience
Bachelor of Science Mathematics Science, Bachelor of Science Mathematics Science at McMaster University
Management of Enterprise Data Analytics, Management of Enterprise Data Analytics at University of Toronto
Master's degree Finance and Financial Management Services, Master's degree Finance and Financial Management Services at Smith School of Business at Queen's University
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2018)
Contributions:16 PRs, 11 pushes in 2 months
r-programmingeconspringeconomicscomputational
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