Summary
Tianchu S is an institutional research analyst and programmer with eight years of experience applying Python, R, and SQL to education and healthcare data to inform policy, accreditation, and strategic planning. With an MS in Computational Analysis and Public Policy from the University of Chicago, he has translated complex measurement and multi-site datasets into reproducible analyses and automated workflows for universities, hospitals, and school networks. His background spans roles from senior application development at Michigan Medicine—where he built SQL automation—to data analysis work at Samsung and predictive modeling for the Peace Corps, showing comfort across production support and statistical research. He has a track record of turning messy operational data into daily reports and board-ready presentations, and he’s delivered practical tools like absenteeism automation and sentiment analysis during crises. Based in Vancouver, he combines a policy-minded perspective with hands-on engineering chops, making him effective at bridging data science, governance, and institutional decision-making. An understated strength is his habit of embedding automation into reporting processes, freeing stakeholders to act on insights rather than compile them.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Economics, Bachelor of Science - BS Economics at Syracuse University - Maxwell School
Master of Science - MS Computational Analysis and Public Policy (STEM), Master of Science - MS Computational Analysis and Public Policy (STEM) at University of Chicago
Chinese, Chinese, English