Summary
Ndeye Diop is a software engineer with a decade of experience building data-driven products, currently developing scalable solutions at Palantir Technologies. With an academic foundation from École Polytechnique and an M.Eng. in Industrial Engineering & Operations Research from UC Berkeley, she blends applied math, optimization and machine learning to automate and optimize complex processes. Her background includes deploying recommendation and classification systems at BNP Paribas and AXA, and hands-on product work as a forward-deployed engineer—bridging customer needs to production software. Comfortable across the stack, she pairs practical web and data engineering skills with research-grade modeling, and favors solutions that free people to focus on higher-value work. An often-overlooked strength is her event and project coordination experience, which enhances her ability to deliver cross-functional initiatives on time.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Industrial Engineering and Operations Research, 3.9/4, Master of Engineering - MEng, Industrial Engineering and Operations Research, 3.9/4 at UC Berkeley College of Engineering
Bachelor of Science - BS, Applied Mathematics and Computer Science, 3.7/4, Bachelor of Science - BS, Applied Mathematics and Computer Science, 3.7/4 at École Polytechnique
Baccalaureate, Mathematics, Physics, Baccalaureate, Mathematics, Physics at Lycée Thierno Saidou Nourou Tall
Mathematics, Physics, Chemistry, 3.9/4, Mathematics, Physics, Chemistry, 3.9/4 at Lycée Henri Poincaré de Nancy
French, English, Wolof