About
Home · Projects · Contact · Full portfolio →
I connect data science, engineering, and business to build practical, efficient systems with clear impact. My background spans analytics, information systems, and ML - with experience in music/media, marketplaces, and BI.
- Now: Data Analyst (Intern) @ Deezer - SQL, Python, Airflow, dashboards, Marketing/ops analytics.
- Previously: Uber (Ops & Logistics Analytics), Amazon Business (DG & BI), Poke Break (Data Science).
I enjoy offline‑first ML (resource‑aware, explainable components), clean interfaces, and strong defaults. Fluent in French & English; working German. And some other languages that I am currently working on Chinese & Russian.
Education
- M.Sc. Data Science & Business, Université Paris Dauphine - PSL (2024–2025)
- M.Sc. Data Science - Strategy & Competitive Intelligence, Panthéon‑Sorbonne (2022–2024)
- Prior studies in Finance/Econ & Data Science (Paris‑Saclay; Bielefeld)
Interests
AI for music/media, ML systems, robotics, AI in medicine, and quantum/optimization.