Mehdi Boubnan

Mehdi Boubnan has worked at several companies in various data science roles. In 2016, they worked as a temporary worker at Parrot. From 2015 to 2017, they served as a Data Scientist and Student Consultant at Saint-Gobain Research Paris, where they configured different sensors. In 2017, they joined Total as a Data Scientist, focusing on collecting and cleaning internal sales data. Mehdi then moved on to Societe Generale Corporate and Investment Banking in 2018, where they worked as a Data Scientist, creating a dashboard and implementing anomaly detection methods. In 2019, they had a research internship at FORTIA Financial Solutions, developing methods for data augmentation and learning sequence elements and style parameters. Since 2020, Mehdi has been with Mindee, first as an R&D Data Scientist and currently as the Lead Data Scientist. At Mindee, they have been involved in building document processing automation features and providing deep learning algorithms for document parsing.

Mehdi Boubnan completed their education in a chronological order. From 2013 to 2015, they attended CPGE Moulay Youssef, where they pursued Classes préparatoires in the MPSI/MP field of study. Following this, they enrolled at CentraleSupélec from 2015 to 2019, where they earned a Master's Degree in Applied Mathematics with a specialization that was not specified. During the period of 2018 to 2019, they also studied at École normale supérieure Paris-Saclay, obtaining a Master's degree in Mathématiques Vision Apprentissage, focusing on Applied Mathematics.