Freelancer profile translated to English.
Back to original languageAbout Thomas
After continuous progression at AGORA SAS, I chose in 2020 to resume my studies to specialize in Data Science, a field that deeply fascinates me.
Curious, attentive, and persistent, I am determined to put my expertise at the service of a dynamic team, where I can not only contribute my skills but also continue to learn and grow.
My objective is clear: to actively contribute to innovative projects while pursuing my professional growth.
I would be delighted to discuss with you how I can strengthen your team.
French
Native or bilingual
Can work on-site
Nice (up to 50km)
Experience
- Smart EnergyDATA SCIENTISTJanuary 2024 - Today (2 years and 6 months)
- Creation of an API (FastAPI) to serve weather data and make predictions using Facebook's Prophet model.
- Automation of deployment tests with PyTest on the weather API.
- Development of an energy consumption simulation tool per device, with predictions based on random forest models.
- Research and use of public data to define energy consumption groups (KMeans).
- Administration and optimization of the MongoDB database, analysis of the slowest queries, production update of the MongoDB version, and implementation of time series to improve response times (x100 compared to initial queries).
- Development of an input assistance tool for lighting diagnostics, integrating voice-to-text transcription and the use of a large language model (LLM) for extracting key information in a structured JSON format. Experimentation with fine-tuning and Retrieval-Augmented Generation (RAG) techniques to improve the accuracy and relevance of the provided responses.
- Proof of concept to develop for a mobile application.
- Management and administration of Microsoft Admin: account creation, rights management, PC upgrades, etc.
- AGORA SASDATA SCIENTISTJune 2021 - December 2023 (2 years and 6 months)
- Development of a machine learning model to recognize information on appliance nameplates, used in a mobile application.
- Extraction of specific data from invoices for quick and efficient mass control.
- Creation of structured documentation from PDF files using image processing and recognition techniques.
- Creation and deployment of machine learning models on FastAPI.
- Use of Natural Language Process (NLP) techniques to categorize failures reported by consumers.
- Creation of data pipelines to route production data to client environments (SFTP, S3 bucket, Azure blob storage).
- Writing of Research Tax Credit documentation.
- Training and management of a junior Data Scientist (one-to-one, activity monitoring).
- Studio de Développement PersonnelData Scientist & AI Developer (Personal Projects)January 2020 - Today (6 years and 6 months)This experience section groups the work I have done in my free time over the past few years. Hobbies, passion, and work combined around the theme of data.• Sports data analysis: Development of a Streamlit application connected to MongoDB to identify player clusters and analyze the most effective team combinations.• Computer vision: Creation of a deep learning model capable of detecting and tracking players, balls, baskets, and referees in real-time on basketball videos.• Home cloud infrastructure: Setup of a personal cloud server based on Raspberry Pi with Nextcloud, allowing the backup of my local data.
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Education
- 2021DATA SCIENCETECH INSTITUTE2021DATA SCIENCE & ARTIFICIAL INTELLIGENCE
- MASTER 2 ECONOMICS OF INFORMATION AND COMMUNICATION TECHNOLOGIESUniversity of Nice2015