Freelancer profile translated to English.
Back to original languageAbout Thomas
Graduated in Probability and Stochastic Models, I offer my services to organizations that need to model uncertainty, analyze complex data, or develop robust quantitative tools.
My services include: probabilistic and stochastic modeling, statistical data analysis, simulation (Monte Carlo, Markov chains...), and custom algorithm development (Python / R).
Although new to freelancing, I bring a solid mathematical background and scientific rigor to every mission. I am particularly suited for contexts where the modeling of randomness is at the heart of the problem: finance, insurance, data science, applied research.
Available quickly, contact me to discuss your needs.
French
Native or bilingual
English
Fluent
German
Conversational
Remote only
Primarily works remotely
Experience
- Institut de Mathématiques d'Orsay / CNES,Quantitative Research InternApril 2025 - September 2025 (5 months)3630 Park St, Jacksonville, FL 32205, USA- Algorithmic Optimization: Implemented the Hungarian Algorithm (Python) to solve assignment problems on synthetic satellite imagery.- Stochastic Modeling: Developed a 1D Poisson Point Process model to identify the critical noise threshold guaranteeing signal recovery.- Performance Analysis: Benchmarked against standard libraries (scipy) and conducted stress-tests on large datasets.
- EDF LAB (R&D),Stochastic Modeling & Reliability InternJune 2023 - September 2023 (3 months)91120 Palaiseau, France- Mathematical Modeling: Modeled critical systems using Markov Processes to compute Mean Hitting Times to failure.- High-Performance Computing: Solved large-scale linear systems (215 states) by Matrix algorithms to memory usage.- Impact: reduced computational load, high-dimensional simulations standard hardware.
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Education
- M.Sc. in Probability and Stochastic ModelsSorbonne University, Paris2025M.Sc. in Probability and Stochastic Models
- B.Sc.University of Franche-Comté, Besançon2022B.Sc.