Summary
Kevin Ding is a computer scientist and NYU undergraduate studying mathematics and computer science with minors in data science and business, graduating with a 3.94 GPA. He combines 11 years of practical experience across software development, data analysis, and marketing roles at firms including INVIDI, Prudential Financial, and Barclays, bringing both product-facing and quantitative perspectives. Kevin focuses on integrating data-oriented technologies into traditional workflows—particularly in finance—bridging theoretical approaches with pragmatic engineering. He has hands-on internship experience building software systems and analyzing market and customer data, and is comfortable working at the intersection of code, models, and business. Based in New York, he brings a multidisciplinary mindset aimed at turning rigorous quantitative ideas into deployable solutions.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science Major, Data Science and Business Minor, 3.94/4.0, Bachelor of Arts - BA, Mathematics and Computer Science Major, Data Science and Business Minor, 3.94/4.0 at New York University