Work Experience
Cegid
Data Analyst / Data Scientist
Sep. 2020 – Present · 5 years
- Deployed Machine Learning models in production on Azure Databricks (churn, scoring, segmentation) for commercial and marketing teams.
- Built and maintained end-to-end data pipelines (ingestion, transformation, exposure) using PySpark and Delta Lake.
- Delivered business analyses and operational recommendations to business teams — summarised in Power BI dashboards.
- Cross-functional collaboration with Product, Marketing and Sales teams to translate business needs into data solutions.
Intersport France
Junior Data Scientist — Apprenticeship
2019 – 2020 · 1 year
- Conducted customer and product studies: scoring, segmentation, lifecycle analysis.
- Collected open data via web scraping and developed predictive models (Machine Learning & Deep Learning) in Python.
- Built data visualisation dashboards on ClicData to monitor product performance.
French Ministry of Social Affairs and Health
Economic Research Analyst — Internship
2018 · 3 months
- Contributed to the PQE report by producing sector-specific thematic briefs.
- Performed statistical analyses on SAS (social and public health data).
Education
Université Paris-Saclay
MSc Innovation, Markets and Data Science
Projects: air traffic prediction and football match outcome forecasting (scikit-learn);
S&P500 prediction (TensorFlow / Keras).
2019 – 2020
Paris School of Economics — Université Paris 1
MSc Economic Analysis and Policy — Magistère d'Économie · Honours
Specialisation in Econometrics and Microeconomics. Research dissertation on the economics of sport.
2016 – 2019