Summary
Jugurtha Bouhadoun is a data scientist with seven years of experience specializing in geospatial computer vision and deep learning, currently applying his skills at IGN on aerial, satellite and terrestrial imagery. He develops object detection and segmentation models, prepares training datasets with OTB, integrates CI pipelines using Jenkins, and analyzes geospatial data with QGIS. Admitted to a Master in Artificial Intelligence and Big Data at ESGI, he combines formal academic training with hands-on production experience in earth observation. Comfortable with statistics and large datasets, he enjoys turning numeric insights into real-world impact—connecting model outputs to practical mapping and forestry applications. Based in Saint-Mandé, France, he brings a rare blend of field-focused domain knowledge and engineering discipline across the ML lifecycle.
7 years of coding experience
Licence, Computer Science, Licence, Computer Science at Université Paris-Est Créteil (UPEC)
Master Intelligence Artificielle et Big Data, Computer Science, Master Intelligence Artificielle et Big Data, Computer Science at ESGI
Licence, Computer Science, Licence, Computer Science at Université Paris Diderot
English, French