Jérôme Camps

Jérôme Camps is an experienced data scientist with a background in machine learning and environmental modeling. With a degree in Digital Sciences from ENSEEIHT, Jérôme has held positions as an Ingénieur d'Études Modélisation at ATMO Occitanie, focusing on urban air pollution modeling and data processing, as well as an Ingénieur Data Scientist at EPSYL - ALCEN Group, contributing to various data science projects. Previous internships include work at Atos, where Jérôme leveraged deep learning for sponsor logo detection during sports broadcasts, and roles at IRIT and the Insight Centre for Data Analytics, enhancing early career skills in engineering and Big Data technologies. Currently, Jérôme serves as an Ingénieur IA at Abelio, developing machine learning models for precision agriculture and implementing MLOps pipelines on AWS.