Freelancer profile translated to English.

Description

Senior Data Scientist with a PhD in Artificial Intelligence and hands-on experience in cutting-edge R&D environments (supervised by research directors at NVIDIA and Google). I design ML solutions that move from prototype to production, not just dusty notebooks.

What I bring to your projects:

My background combines academic research and industrial deployment. I led a reinforcement learning project from its exploratory phase to its adoption across an entire company. This dual expertise allows me to build solutions that are both scientifically rigorous and production-robust.

My areas of expertise:

Demand forecasting and time series

Reinforcement learning applied to logistics optimization and pricing

Computer vision and NLP

Integration with ERP/CRM systems (SAP, Salesforce)

Types of projects I undertake:

Audit and scoping of your AI/ML needs

End-to-end predictive model development

Optimization of business processes using AI (inventory, pricing, routing)

Production deployment and industrialization of existing POCs

Strategic consulting on your data/AI roadmap

For whom? Retailers, e-commerce, supply chain, or any company that wants to extract concrete value from its data without getting bogged down in technical complexity.

Let's talk about your project.

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Augury,
DATA SCIENTIST RESEARCHER
August 2022 - Today (3 years and 10 months)
• • Designed and delivered Offine RL system from POC to production-ready solution, optimizing production lines with real-time decision support, collaborating across engineering and product teams
• • Developed a Generative AI agent with RAG architecture that empowered non-technical users to analyze client data and make informed decisions effciently
• • Acted as team lead, launching a customer experiment that improved the cost function by 5%, with hands-on experience in data exploration and visualization to drive insights and optimize results
• • Developed evolutionary algorithm projects using mathematical approaches including Mann-Whitney U tests, smart initialization, and Pareto front optimization
Time Series Deep Learning Reinforcement Learning
Start-Up Nation and Open University
ADVISOR AND LECTURER
April 2020 - October 2023 (3 years and 6 months)
• • Developed evaluation programs for data sector juniors and consulted with AI leaders to create customized recruitment assessments
• • Created and taught courses: Python, Digital Systems, Nand to Tetris and Mobileye project
Cornell Tech
RESEARCH INTERN
June 2019 - October 2019 (4 months)
New York, United States
Developed a deep learning model for heart disease prediction in collaboration with physicians in Colombia, targeting early detection in at-risk women by analyzing heart rate variability (HRV) data captured from smartwatches to identify elevated risk periods