Description

👋 Je suis freelance en data science et data engineering, avec 8+ ans d’expérience sur des projets mêlant traitement de données massives, modélisation prédictive et intégration de solutions IA.

🛠️ Je conçois des pipelines de données robustes et scalables (Spark, dbt), tout en gardant une vision orientée produit et usage. J’interviens aussi bien sur l’ingestion (batch ou stream) que sur la structuration d’entrepôts et l’industrialisation de flux analytiques.

📈 Côté data science, je développe des modèles prédictifs (séries temporelles, scoring, détection d’anomalies) et conçois des applications IA autour des LLMs : assistants intelligents, recherche sémantique (RAG), vector DBs, LangChain...

⚡ Mon approche est end-to-end : je livre rapidement des MVP exploitables via FastAPI ou Streamlit, avec un souci constant de clarté, de maintenabilité et d’impact métier.

🧠 Plus que du code

Je sais challenger les besoins, garder une vision produit claire, et livrer des solutions utiles, fiables et prêtes pour l’échelle.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lyon 2e Arrondissement (up to 20km), Lille (up to 20km), Paris (up to 20km)

Freelance
Data Scientist - Data Engineer
January 2024 - Today (2 years and 5 months)
I help companies leverage their data to build predictive models, extract business insights, and integrate AI assistants using modern LLM tooling.
Data Extraction and Transformation to data warehouses using Apache Spark or DBT
Predictive analytics: time series forecasting, anomaly detection, customer scoring.
NLP and LLM applications: building intelligent assistants and semantic search tools (RAG) using LLMs, vector databases, LangChain.
Rapid prototyping: Streamlit, FastAPI - delivering deployable, explainable, and scalable Al solutions
Spark DBT Snowflake FastAPI Big Query Python TensorFlow
Palestra
Founder
SPORTS
September 2023 - Today (2 years and 9 months)
Lyon, France
Founded and bootstrapped Palestra, a SaaS platform for fitness coaches to sell training programs and manage personalized coaching services.
Defined product vision, business model and go-to-market strategy
Led UX design, product iterations and user validation
Managed legal, billing and growth-related aspects (Stripe, subscriptions, B2C pricing)
Built a lean MVP to test early traction and refine the offering based on real coach feedback
Start-up
Cisco
Data Scientist
INTERNET OF THINGS (IOT)
June 2019 - September 2023 (4 years and 3 months)
Lyon, France
Development of Cisco Cyber Vision, a monitoring and security platform for industrial networks.

Designed and deployed an anomaly detection system for industrial processes using time series data — from model architecture to production deployment
Analyzed network communication metadata to extract actionable insights for end user
Detected network configuration changes using Fourier analysis techniques
Built a web application to manage model training/inference and display detection reports
Time Series Deep Learning Python FastAPI Docker PostgreSQL