Shiyi Li

Shiyi Li is a data scientist with extensive experience at Abbott since October 2017, where responsibilities include developing automated ETL processes for large data volumes and creating dashboards to monitor product performance using R, JMP, SQL, and Power BI. Prior experience includes a financial research internship at Acceleration Capital Group, LLC, where Shiyi Li contributed to hedge fund evaluations and secured investors, and a data analyst internship at Hangzhou Pi-Solution Information Technology, where pricing efficiency and sales estimation accuracy were significantly improved. Shiyi Li has academic experience as an undergraduate research assistant at the University of Pittsburgh, where leadership skills were demonstrated in senior design projects and awards were earned in mathematical modeling competitions. Educational qualifications include a Master's degree in Applied Statistics from Stony Brook University and multiple Bachelor's degrees in Applied Mathematics and Mechanical Engineering from the University of Pittsburgh.