Eunice Son is a data-driven computer science master’s student at Virginia Tech with a background in economics and data science from UW–Madison and eight years of practical experience across research and industry. She has applied machine learning and quantitative methods to high-stakes domains—from aircraft engine ML research at Rolls‑Royce to proprietary commodities trading and derivatives research at Olam Agri and CME Group. As a graduate research assistant at the Sanghani Center, she blends academic rigor with applied analytics under Dr. Naren Ramakrishnan’s mentorship, focusing on data analytics and AI. Eunice’s earlier work tutoring econometrics and contributing to policy research demonstrates strong communication skills and the ability to translate complex quantitative ideas for diverse audiences. Notably, she moves comfortably between theory and practice, pairing econometric intuition with hands-on ML experimentation in production-adjacent settings.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Economics and Data Science, Bachelor of Science - BS, Economics and Data Science at University of Wisconsin-Madison
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Virginia Tech
High School Diploma, High School Diploma at Blacksburg High School
High School Diploma, High School Diploma at Bunpo High School
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.