Freelancer profile translated to English.

Description

Looking for a data scientist capable of tackling complex problems with scientific rigor? With a PhD in Experimental Physics and a degree from École Polytechnique, I help you turn your data into concrete decisions.

Whether it's building predictive models, analyzing large volumes of data, or optimizing processing pipelines, I bring a rigorous and results-oriented approach. My experience in HPC engineering and my IT skills — Linux, cloud environments — allow me to work effectively on projects with high performance and deployment constraints.

Typical projects: exploratory analysis, statistical modeling, machine learning, data workflow optimization, cloud deployment.

Industry field of expertise

Languages

English
Native or bilingual
French
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Bordeaux (up to 50km), Toulouse (up to 50km), Lyon (up to 50km), Grenoble (up to 10km)

Alliance Services Plus
HPC Engineer
DEFENSE AND MILITARY
January 2024 - October 2024 (9 months)
Arpajon, France
Migration and management of AWS Parallel Cluster in a scientific computing environment. Automation of cluster creation and storage management via CI/CD pipelines. Contribution to tenders for cloud and web HPC projects, ensuring the reliability, scalability, and performance of deployed infrastructures.
Python (Programming Language) Linux Cloud AWS HPC
CNRS-Université Paris Saclay
PhD Student
PUBLIC SECTOR
October 2018 - January 2022 (3 years and 3 months)
Orsay, France
I developed solid expertise in complex data analysis and applied machine learning. Accustomed to working with noisy and large datasets, I built robust statistical and ML models to detect patterns and extract actionable insights. I also developed clear visualization tools.
Python (Programming Language) Machine learning Statistics Data science Numpy
Datascientest
Data Engineering/Data Management
EDUCATION AND E-LEARNING
July 2023 - November 2023 (4 months)
Paris, France
Design and implementation of data warehouses and data pipelines, enabling unified data management. Structuring and modeling raw data into usable layers (staging, transformation, exposition), ensuring consistency and traceability of flows. Implementation of ETL/ELT processes for automated data ingestion, transformation, and loading from various sources.
Data Warehousing SQL Data Analytics Python Amazon Web Services