Airbus

Apply advanced data engineering and machine learning techniques to detect anomalies in production and in-service data, cluster problems to identify repetitive patterns, and trigger corrective and preventive actions, driven by a Retrieval Augmented Generation (RAG) model.

Develop innovative strategies such as an algorithm using a Large Language Model (LLM) that allow us to integrate feedback loops, anticipate design issues that have an impact on future product performance before they leave the drawing board.

Benchmarking of different Large Language Models (LLMs) to meet user requirements.

Enedis

Recognized as Data Expert in Midi Pyrénées Sud.

I implemented strategies to use tree cutting data to help reduce the number of power outages. By managing this data through dashboards, I facilitated informed decision making. This has helped reduce blackouts and improve overall grid reliability.

Delivered advanced dashboarding training to various groups of colleagues, strengthening our company's 'data community' and driving alignment with our data-driven business culture.

Comtazic

Internship where I designed a website using ReactJS and a front-end test tool for web applications.

Master MIAGE Ingénierie des Données et Apprentissage (IDA)

Machine Learning/ Deep Learning.

Big Data Analytics Architecture.

Hackaton: identify endothelial cells in microscopic images of breast cancer using Deep Learning. A segmentation of all the cell nuclei in the image was calculated using a network called HoVerNet with Toulouse Oncopole University Cancer Institute.

Bachelor Méthodes Informatiques Appliquées à la Gestion des Entreprises (MIAGE)

Bachelor of Computer Science.

Java projects (Labyrinth, MasterMind,...).

Relational and non-relational database (Oracle, MongoDB)

Scientific Baccalaureate