Freelancer profile translated to English.
Back to original languageAbout François-Pierre
Polytechnician engineer and doctor in applied mathematics, I put my expertise in operations research, mathematical optimization, and time series forecasting at the service of companies.
With R&D experience at Ida, where I developed and deployed advanced algorithms at scale, and a solid academic background, I combine scientific rigor with operational pragmatism.
I offer tailor-made solutions, ranging from the design of innovative models to their rapid deployment. My approach is based on cutting-edge techniques (machine learning, Markov chains, mathematical optimization, etc.) and a proven ability to meet the real constraints of companies.
What I can bring:
- Development of predictive models to improve your strategic decisions.
- Optimization of your processes through robust and efficient algorithms.
- Rapid and reliable deployment, with post-deployment monitoring for continuous improvement.
- Languages and tools: Python, JAX, SQL, and other technologies adapted to your needs.
Why me?
With a background combining academic excellence (Polytechnician, doctorate, and award-winning scientific publications) and field experience in a dynamic startup, I understand both the technical and business challenges of your projects. Together, we will turn your ideas from theory into concrete results.
French
Native or bilingual
English
Fluent
Italian
Conversational
Chinese
Conversational
Can work on-site
Paris (up to 50km)
Experience
- IDAResearch Data ScientistOctober 2023 - Today (2 years and 8 months)Paris, FranceI am responsible for R&D at Ida, a startup dedicated to optimizing fresh produce orders. There, I develop and deploy advanced algorithms that forecast demand, ensure stock data reliability, and propose optimal orders.➤ Time Series Forecasting: Development of machine learning models to forecast demand for fresh produce.➤ Stock Modeling and Reliability: Use of models based on Hidden Markov Models to improve the reliability of real-time stock data.➤ Optimization of Order Recommendations: Design of recommendation algorithms based on operations research methods, including dynamic programming and integer linear programming, to maximize profitability.➤ Deployment and Production Monitoring: From initial research to post-deployment monitoring, I oversee the entire lifecycle of my models, including operational deployment in hundreds of stores across Europe, ensuring continuous optimization and adaptability to real-world data.➤ Management & Supervision: Supervision of several interns in data science and mathematical modeling.➤ Client Presentations: Presentation of results and the scientific robustness of our algorithms to current and potential clients.
- HSK levelSolopreneur & Substack BestsellerMay 2022 - Today (4 years and 1 month)HSK Level is an innovative web application I created to assess and improve Chinese language learners' skills. As a solopreneur, I managed the entire development and management cycle, from technical design to online learning community engagement.➤ Development and Programming: Complete creation of the application using ReactJS, PHP, MySQL, and Git, from the user interface to the back-end architecture.➤ Mathematical Modeling and Artificial Intelligence: Design of predictive models based on scientific research, enhanced with Machine Learning. These models are continuously adjusted using real user data, ensuring optimized learning progression.➤ Successful Weekly Newsletter: Creation of Chinese Grammar Gems, followed by over 40,000 subscribers, ranked among the bestsellers on Substack.➤ Management of a Community of +100,000 Chinese Enthusiasts: Active management of communities on Instagram (60k+), Facebook (29k+), Twitter (14k+), and TikTok (1k), with proven content marketing strategies to drive engagement.➤ Usage Statistics and Impact: Over 120,000 tests completed and 5 million answers recorded, providing a unique overview of learner proficiency and skill development.➤ Complete and Autonomous Management: Oversight of all project stages – development, testing, deployment, and maintenance – ensuring quality service and continuous platform evolution.
- CNRS - Centre national de la recherche scientifiquePostdoctoral ResearcherSeptember 2021 - April 2022 (7 months)91120 Palaiseau, FranceI developed numerical optimization tools for optimal transport applied to economics. I worked with economists Francis Kramarz and Philippe Choné.➤ Mathematical modeling of the labor market using optimal transport➤ Programming the model in Python (JAX), numerical simulationsScientific publications:• F-P. Paty, P. Choné, F. Kramarz. Algorithms for Weak Optimal Transport with an Application to Economics
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Education
- PhD, Applied MathematicsInstitut Polytechnique de Paris2021Doctorat, Mathématiques appliquées
- Engineering Degree, Applied MathematicsÉcole Polytechnique2018Diplôme d'ingénieur, Mathématiques appliquées