Education
Mines ParisTech PSL - DataScientest
Machine Learning Engineer (RNCP 36129)
2024
Mines ParisTech PSL - DataScientest
Data Scientist
2024
Topics studied:
- Python for Data Science
- Statistics
- DataViz
- Supervised and Unsupervised Learning Methods
- Time Series Analysis
- Graph Theory
- SQL - PySpark
- Dense Neural Networks with Keras and PyTorch
- Convolutional Neural Networks
- RNN - Transformers
- NLP - LLM
- Deep Reinforcement Learning
- Graduation project: Demosthenes, a translation system for connected glasses (Report,Github)
DataScientest
Data Product Manager
2024
Topics studied:
- Product Management
- Project and change management
- Agile Method
- ETL with PySpark
- Data manipulation with APIs
- Data Quality
- GDPR and Ethics
- Business Intelligence: Power BI, Make, SQL
- Graduation project: Velib: There's always a bike ready, wherever you are!
DataScientest
MLOps
2024
Topics studied:
- Linux, Bash, AWS
- Git and Github
- Unit testing
- MLflow
- Jenkins
- Docker
- FastAPI, Flask, API security
- AirFlow, Kubernetes, Prometheus and Grafana
- Graduation project: Multimodal Product Data Classification : Rakuten (Github)
Stanford Online
Machine Learning
2021
University PARIS IX - Dauphine
Master 2 in Scientific Management Methods at LAMSADE (with honors)
1987
IAE Paris - Sorbonne Business School
MBA - Finance Option
1987
Ecole Supérieure d’Informatique-Electronique-Automatique
Engineer (with honors)
1985
