Antoine
Moreau
Data Scientist & AI Engineer
Data Scientist and AI Engineer with 7 years of experience designing and deploying production machine learning models. Expert in NLP, computer vision and recommendation systems, I've contributed to projects generating over €15M in added value for my clients and employers.
My skills
Technical skills and soft skills
Technical skills
Python
7 years of experience
Machine Learning
7 years of experience
Deep Learning
5 years of experience
MLOps
4 years of experience
SQL & Big Data
6 years of experience
Soft skills
Scientific Communication
Translating complex ML concepts for decision-makers
Analytical Thinking
Rigorous and methodical problem-solving approach
Cross-functional Collaboration
Working with Product, Engineering and Business
Intellectual Curiosity
Continuous monitoring of AI advances
Professional experience
Career path and achievements
Lead Data Scientist
2022 – PresentDoctolib
- →Designed an AI-assisted medical triage NLP model, reducing patient wait times by 35%
- →Built a practitioner recommendation system based on patient history and availability, boosting retention by 22%
- →Set up an internal MLOps platform with MLflow and Kubeflow, standardizing deployment for 8 data scientists
- →Led a team of 4 data scientists with mentoring and systematic model reviews
Senior Data Scientist
2020 – 2022Criteo
- →Optimized click-through rate (CTR) prediction models with deep learning architectures, improving ad ROI by 18%
- →Processed petabyte-scale datasets with Spark and BigQuery for real-time model training
- →Developed an automated feature engineering pipeline reducing data preparation time by 60%
- →Published an internal research paper on attention mechanisms for ad recommendation
Data Scientist
2018 – 2020Dataiku
- →Developed machine learning modules integrated into the Dataiku DSS platform, used by 500+ companies
- →Created demos and POCs for enterprise clients (BNP Paribas, Total, Airbus)
- →Contributed to technical documentation and platform tutorials, improving onboarding by 40%
Projects & achievements
Notable projects and achievements
MedTriage AI — Intelligent Medical Triage
Fine-tuned LLM-based NLP model to analyze patient symptoms and suggest priority levels. Deployed in production for 50,000 consultations/month. 94% accuracy validated by a medical committee.
RecoPractitioner — Recommendation System
Hybrid recommendation engine (collaborative filtering + content-based) to match patients with practitioners. A/B tested with +22% retention measured over 3 months.
Open-source Python library simplifying feature engineering, model validation and deployment. 1.8k GitHub stars, used by 200+ data scientists.
Education
Degrees, academic background and skill development
MSc Data Science & Artificial Intelligence
École Polytechnique (X)
2018
BSc Applied Mathematics
ENS Paris-Saclay
2016
Interests
Responsible AI
Research and advocacy on algorithmic bias and AI ethics
Teaching
Machine Learning lecturer at École Polytechnique
Certifications
Google Professional Machine Learning Engineer
Google Cloud
AWS Machine Learning Specialty
Amazon Web Services
Deep Learning Specialization
deeplearning.ai / Coursera
Let's create
something amazing
Feel free to reach out to discuss your projects.