Summary
Jeremy Li is a data scientist based in New York with a decade of experience turning messy datasets into clear, evidence-backed narratives. Trained in Statistics & Machine Learning at Carnegie Mellon, he blends academic rigor—demonstrated through teaching assistantships in practical data science and statistical computing—with hands-on industry work across The Trade Desk, Moderna, LivaNova, and research in numerical and spatial cognition. Comfortable shipping ML solutions in production and mentoring students, he focuses on understanding not just what the data shows but why it behaves that way, treating analysis as storytelling. His background spans people analytics, audience modeling, and corporate analytics, giving him a rare mix of product-focused impact and pedagogical clarity.
10 years of coding experience
2 years of employment as a software developer
Brooklyn Technical High School
Bachelor of Science - BS Statistics & Machine Learning, Bachelor of Science - BS Statistics & Machine Learning at Carnegie Mellon University
English, Chinese