Summary
Stephanie Toper is an independent corporate trainer and data consultant with nine years of experience helping teams turn messy spreadsheets into clear, actionable insights. With a strong quantitative background from Columbia and Grenoble, she blends quant thinking, data literacy, and hands‑on technical training—covering Excel automation, Python for analysts, Google Colab dashboards, and AI‑assisted productivity. Her career spans quant roles at major banks and hedge funds, giving her practical exposure to real-world data workflows and risk-sensitive environments. Stephanie designs boutique, high‑impact workshops that produce immediate improvements in efficiency, accuracy, and communication for non‑technical audiences. She also coaches STEM jobseekers on resumes, interviews, and networking, leveraging hiring-side experience to demystify technical career transitions. Notably, her approach emphasizes practical automation and structured decision‑making so teams can scale knowledge without becoming dependent on a single power user.
9 years of coding experience
17 years of employment as a software developer
Master of Science (M.Sc.), Computer Science and Applied Mathematics, Master of Science (M.Sc.), Computer Science and Applied Mathematics at National School of Computer Science and Applied Mathematics of Grenoble
Master of Arts (M.A.), Mathematics, GPA 3.9/4.0, Master of Arts (M.A.), Mathematics, GPA 3.9/4.0 at Columbia University
Bachelor of Science (B.Sc.) with honors, Mathematics, Bachelor of Science (B.Sc.) with honors, Mathematics at Pierre and Marie Curie University
CPGE, CPGE at Classe Preparatoire-Janson de Sailly & Jean-Baptiste Say