Freelancer profile translated to English.
Back to original languageAbout Stephane
"Uncovering order in complexity — ✨ Innovative solutions for data-driven success 📊"
🔍Hidden Opportunities in Data
I believe unexplored opportunities lie dormant in overlooked data. Leveraging my expertise in physics and data analysis, I transform these opportunities into concrete, strategic solutions.
🎯My Mission
To simplify complexity, clarify data, and guide your decisions with modern technologies. My approach reveals essential insights to achieve your goals.
What Sets Me Apart 🏆
✨Unique Expertise in Applied Physics: I employ physics tools to solve complex problems, integrating deterministic and stochastic processes.
🌐Interdisciplinary Approach: I combine physics, mathematics, and computer science to innovate and push the boundaries of advanced engineering.
🏛️Prestigious Collaborations: I have worked, taught, and conducted research atKing's College London,**UC Berkeley,** and theUniversity of Tokyo.
My Services 🌟
- Data Visualization: Designing clear and aesthetic dashboards to make complexity accessible.
- Modeling and Simulation: Creating advanced models to optimize your decisions.
- Data Analysis and Transformation: Strategically leveraging data through modern techniques like machine learning.
Technical Skills 🔧
- Data Analysis and Extraction: Big Data, SQL/NoSQL, Data Mining.
- Advanced Modeling and Simulation: Dynamic and stochastic methods.
- Supervised and Reinforcement Learning: TensorFlow, PyTorch, OpenAI Gym.
- Data Visualization: Dash, Plotly.
- Technical Environment: Python, C++, Linux, Git, HPC clusters.
🌟Together, let's unlock the full potential of your data to turn your ideas into success.
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- DotworldData scientistE-COMMERCEApril 2024 - Today (2 years and 4 months)a) Customer classification based on chargeback risk for a mid-provider
- Data preprocessing and customer geolocalization to analyze regional behaviors.
- Encoding categorical features (devices, browsers, currencies) using one-hot and frequency encoding.
- Development of a classification algorithm based on SVM and XGBoost to estimate chargeback probability.
Result: Significant reduction in chargeback costs through precise customer allocation based on risk score.b) Reinforcement learning-based A/B testing- Definition of the reward function to optimize feature tests.
- Use of a "classic" reinforcement learning algorithm based on UCB, accelerated by a neural network to approximate the reward function.
Result: Improvement of A/B tests and optimization of tested features. - King's College LondonPostdoctoral Researcher -- Marie Curie FellowRESEARCHApril 2021 - Today (5 years and 4 months)Kashiwa, Japan- Simulation of particle detectors and design of classical and Machine Learning algorithms (Python, C++, Fortran). Contributor to an open-source physics software (WCSim).- Management of research grants (280k EUR, 450k JPY) to design a photosensor test bench (mechanical, electronic, readout). Organization of the review of a 20+ M USD project for the installation of photosensors in Hyper-Kamiokande.- Setup of a neutrino physics laboratory, including design, procurement, and documentation. Automation of data collection and analysis (Python, C++, ROOT) and deployment of programs on computing grids.- Comparison of the performance of photosensors from 4 different manufacturers, measurement of their characteristics for certification, and ongoing negotiation with manufacturers.
- Genius sportsConsultant -- Quantitative AnalystENTERTAINMENT AND LEISUREOctober 2021 - January 2023 (1 year and 3 months)- Prediction of arrival time for horse races using a gamma distribution model in Python and C++- Time series forecasting for horse race rankings, using TensorFlow, scikit-learn, and pandas- Construction of a reinforcement learning environment for betting and its challenges, using Keras and OpenAI Gym
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Education
- Engineering DegreeGrenoble-INP Phelma2013Diplôme d’Ingénieur en Physique et Nanosciences
- Master of ScienceImperial College London2013MSci de l'Imperial College London en Quantum Fields and Fundamental Forces