Summary
Andy Dai is a senior data analyst based in Chicago with 10 years of experience turning complex datasets into strategic insights for higher education, energy, and consulting clients. At Ryder he leads analytics initiatives, and previously built predictive enrollment models at Columbia College Chicago using Python and ensemble methods (Random Forest, AdaBoost, KNN) to inform executive planning and federal compliance. He combines strong SQL/SSRS, MySQL, VBA and data-engineering chops with practical modeling experience to automate reporting and streamline decision workflows. Early roles in financial services and development honed his audit-minded approach to data quality, controls, and documentation. Academically grounded with degrees in finance, computer science (3.94 GPA), and international trade, he blends quantitative rigor with production-ready delivery. Comfortable moving between hands-on coding and executive-facing communication, he has a track record of translating technical models into actionable strategy.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, 3.94/4, Master's degree, Computer Science, 3.94/4 at University of Bridgeport
Master's Degree, Finance, Master's Degree, Finance at Illinois Institute of Technology
Bachelor's Degree, Economics and International Trade, Bachelor's Degree, Economics and International Trade at Zhejiang University of Technology
English, chinese, mandarin, mandarin, wenzhou dialect, Japanese