Description

I build data systems that eliminate operational waste and surface decisions executives can act on immediately.

Recent work: predicted brand-switching behaviour across 50,000+ Sephora customers (+15.8% basket lift). Built an operational intelligence platform for BNP Paribas CIB analyzing 1.6GB of ticketing data across 14 production applications - automated Python ETL pipelines and React dashboards that cut manual reporting by 8 hours/week.

My stack: Python (pandas, scikit-learn, Flask), SQL, React.js, Power BI, ETL pipelines, data visualisation.

I work with companies that need their data to actually do something - not sit in a spreadsheet. If you have messy data, manual processes, or decisions being made on gut instinct instead of numbers, that is exactly where I come in.

Based in Paris. Available for missions on-site or remote across Europe.

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Français
Capacité professionnelle limitée

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Grandir (Childcare
Technical Lead — Recruitment Optimization Platform
juin 2024 - décembre 2025 (1 an et 6 mois)
• ● Led the technical development of a full-stack recruitment analytics platform processing 42,681 candidate records; built Flask backend and React frontend with geospatial mapping to automate candidate-location matching across 50+ nursery sites
React.js SQL flask Data visualization
Generali Insurance(Business Deep Dive)
Data Analyst — Insurance Risk Analytics
septembre 2025 - novembre 2025 (2 mois)
• ● Framed a claims-cost reduction problem for a major insurer; analyzed 500,000 accident records to identify structural drivers of loss severity and frequency.
BCG Strategy Challenge
Strategy Analyst — Growth Strategy Competition
janvier 2025 - septembre 2025 (8 mois)
place, 19 teams)
• ● Developed a 3-year growth strategy for pet-tech mobile application, placing 2nd among 19 teams;