In short

2021-Now Lead ML-Engineer NLP @ COVEA : Delivering Hybrid AI and Gen-AI Efficient and Frugal Solutions in Production with Azure, OpenAI & Databricks.

2018-2021 Senior Data Scientist @ Ministère de la Santé : Modelling Health Sequences with Transformers. Help Data-driven decision-making during CoViD-19 crisis.

2014-2017 Actuarial Data Scientist @ AXA Global P&C : pricing and claims handling with machine learning and external data.

Lead ML-Engineer NLP

COVEA - AI Delivery

Paris, France

2021-Now

• VOX.IA : Client Verbatim Analysis. AI Award-Winning Project.
• NetMessages : Offer real-time selfcare offer to the client with Frugal AI.
• JudiCible : Accelerate Claim Management with AI & Gen-AI Hybrid approach.
• AI in Production : Annotation, Finetuning, Deployment, Drift-Monitoring.
• Publication on Medium COV&IA.

Senior Data Scientist & (EIG)

Ministry of Health

Paris, France

2018-2021

• Modelling Health Sequences to predict diseases outcome and detect disruption.
• Classification with active-learning & General Public WebApp to find Health-focused statistics.
• Tools for regional health agencies : Interactive Decision Making Tool to help experts elaborate Zoning for health professionals.
• Tech Lead at CoViD-19 crisis center : Develop webapps to gather critical information from hospitals and labs.
• Workflow to build CoViD-19 Indicators with SIDep, SIVic, VacSI.
• Produce open-data with anonymisation : k-anonymity & hierarchical l-diversity.

Actuarial Data Scientist

AXA Global P&C

Paris, France

2014-2017

• P&C pricing innovation with gradient boosting and ML-interpretation / XAI techniques.
• Build and deploy Claim Cost Analyzer : ML workflow to score car repairers cost-efficiency.
• NLP on bodily injury cases to assess contentious risk.
• Roads own-risk assessement based on GPS Telematics data.

Actuarial Thesis

AXA Belgium

Remote

2014

Elderly drivers own-risk assessment - SCOR prize finalist.

Structuration Intern

Exane BNP Paribas (6 months)

Paris, France

2013

Building a synthetic index as a dynamic basket of stocks & bonds.

CAT-Bonds Pricing Intern

SCOR (6 months)

Paris, France

2012

Pricing CAT-Bonds using Monte-Carlo Markov Chains MCMC.

Generative AI

LLM, RAG, Finetuning, Prompt-engineering.

deeplearning.ai

2023-2024

Deep learning

Advanced training & hands-on projects.

fast.ai, datascientest, deeplearning.ai

2017-2020

Spark & Scala

Scala Programming + Spark applications.

Coursera by Martin Odersky & Heather Miller

2019

Web Development

Introduction to HTML, CSS, Javascript & JQuery.

CodeSchool.com

2016

Introduction to data science

Main techniques of supervised & unsupervised learning : SVM, Gradient-Boosting, Random Forests, k-means etc.

Coursera by Bill Howe

2014

ENSAE Paris - IP Paris

MSc Actuarial Science & Data Science

Paris, France

2010-2014

Gen-AI Masterclass (COVEA)

Gen-AI theory and practice. Applications with Copilot. Scaling with Azure OpenAI. Prompt-engineering.

COVEA

2023-2025

Data Science Teacher

Data-Science for Actuaries & Data Science Certification

Paris, France

2014-2020

• Natural Language Processing & Text-mining techniques.
• Machine Learning for structured data : Gradient Boosting & Support Vector Machine.
• Data Science Hands-On with R, data.table, xgboost, glmnet & liblinear…
• Build Interactive Apps with R + Shiny.
• Data Science for Actuaries (DS4A): 5-days training with hands-on & 1-day hackathon to teach AXA actuaries Data-Science Techniques that can help them better solve Insurance-related problems. The Theoretical Training was given by Arthur Charpentier.