Freelancer profile translated to English.

Description

Big Data and Artificial Intelligence Engineer, I am now specialized in decision-oriented Data Analysis.

I work on business steering, performance analysis, and business data valorization issues, with a clear objective: to make data usable and useful for decision-making.

Specifically, I support companies in:

data reliability and structuring

defining relevant KPIs

creating dashboards (Power BI, Tableau)

analyzing behaviors (customers, activity, performance)

My approach is field-oriented: transforming raw data into clear, actionable insights that can be directly used by business teams.

I can also work on more advanced topics (machine learning, AI) when they bring real value, but I prioritize readable, robust solutions aligned with business challenges.

In terms of tools, I mainly work with SQL, Python, Power BI, Tableau, and modern data environments.

Currently a freelancer, I favor clear, rigorous, and results-oriented collaborations, with a strong ability to adapt quickly to business contexts.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Paris (up to 50km), Bayonne (up to 50km), Aix-les-Bains (up to 50km), Metz (up to 50km)

DataScientest
Generative AI
EDUCATION AND E-LEARNING
June 2025 - October 2025 (4 months)
Paris, France
Creation of NLP use cases: classification, sentiment analysis, information extraction. Development of a RAG chatbot (LLM + document search). Data preparation and structuring for fine-tuning. Responsible AI approach: GDPR, bias, ethics.
Python NLP LLM Generative AI Hugging Face
SAFRAN AIRCRAFT ENGINES
Data Apprentice
AVIATION AND AEROSPACE
October 2022 - December 2023 (1 year and 2 months)
Colombes, France
Design of a NoSQL database and automation of its population via Jenkins (CI/CD pipelines) and Python scripts. Creation of a tool to improve workshop work and implementation of algorithms with Python and MongoDB. Results: anticipation of non-conformities and reduction of waste by revaluing parts initially considered scrap.
Python MongoDB Jenkins SQL/NoSQL
BPIFRANCE
STAGE DATA QUALITY ANALYST
BANKING AND INSURANCE
April 2022 - July 2022 (3 months)
Paris, France
Centralization of sectoral data (Excel files) for monitoring financed projects. Analysis of the automotive industry recovery plan with PowerBI and design of a tool for managing green projects. Results: 30% reduction in processing time for DFI in identifying projects eligible for 'green' aid.
Data visualisation Microsoft Power BI VBA