Paul Moncuquet

Within a team of experts, I support the nuclear industry in valorizing their data and integrating artificial intelligence solutions.

My main responsibilities:

Identify and uncover AI opportunities from available data or to overcome obstacles in business processes.

Design and develop POCs to validate approaches before scaling them to an industrial level.

Ensure continuous technological watch and experiment with new approaches to stay at the forefront of data science innovations.

Support the implementation of best practices to structure and conduct data science projects through to production.

Supporting the Global IT & Transformation team of the CMA in integrating and improvingmachine learningtools and techniques and more broadlyNatural Language Processingapproaches.

Comparative study of content extraction solutions from text and image documents.

Implementation of an API for generating SQL queries, enabling querying databases using natural language questions.

Lead NLP (Natural Language Processing) developer for the processing, extraction, and automatic annotation of relevant data in economic documents. (Using language rules, BERT models, vectorization models). Project Manager:

- Concept vectorization (creation and preparation of corpora + model training) for automatic recommendation and suggestion.

- Tool for generating a corpus used for training our machine learning models.