Pierre-Louis Patenôtre
Data Project Lead | AI & ML Systems
Salaire / Taux journalier
Paris, France
Freelance
Peut venir sur site
Expertises
Langues
À propos
Introduction
We are accredited by the BPI to provide AI strategy consulting services. With 8 years of experience, we support our customers in leveraging AI technologies. We define a strategy, evaluate data assets, identify optimal use cases and orchestrate seamless solution integration. We make it a point of honor to develop simple projects with interpretable and actionable results. We have a strong expertise in leading the development of AI Systems.
Expérience de travail
Lecturer
EM LyonFreelance
janv. 2025 - Présent
1 an 10 mois
Lyon, France
Teaching fundamental principles of AI. Msc in Data Science & Artificial Intelligence Strategy
Data project lead | ML Engineering, Data Product Design
Likkle Logic
mars 2022 - Présent
4 ans 8 mois
À distance
Lead the development, implementation and follow-up of state-of-the-art AI systems - from the strategy and vision to product delivery. Missions: AGENTIC-AI: A multi-step reasoning agent built to orchestrate document retrieval, validation, and insight generation for strategic consulting workflows. GEN-AI: Strategy, design and co-development of a virtual assistant for a large beauty-and-care company. RECOMMENDATION SYSTEM: Audit & recommendations, design and co-development of Deep Learning RecSys
Catalina France
janv. 2018 - janv. 2022
4 ans 1 mois
Senior Data Scientist
sept. 2021 - janv. 2022
5 mois
- Designing, implementing and maintaining relevant product recommendation systems - Time Series: exploration to challenge uplift calculation methodologies - Forecasting : drive instore marketing campaign momentum
Data Scientist
janv. 2020 - août 2021
1 an 8 mois
Analytics Consultant
janv. 2018 - déc. 2019
2 ans
Région de Paris, France
Lead Data Scientist
Data for Good
sept. 2019 - déc. 2019
4 mois
Paris, France
Managed the technical support of a thesis in healthcare. Three-month datascience project to explore clinical and genomic data to answer medical hypothesis.
Formation
NEOMA Business School
Master's degree
Master in Management - Grande Ecole
Institut catholique de Paris
Economical & Social Sciences, International Business
3rd grade, Economy and Social Sciences Bachelor
Conservatoire National des Arts et Métiers
STA101 : Analyste de données massives
Evening Classes
Portfolio
Development of a Recommendation System
