Aurélien Delfosse

Aurélien Delfosse has a diverse work experience in the field of artificial intelligence and data science. Aurélien started their career as a Data Engineer at Redcats in 2013 and worked there until 2014. In 2015, they had two roles, first as a Data Scientist intern at Atos from March to September, and then as a Data Scientist at Veolia from December to November. From 2016 to 2021, they worked at EDF as an AI Research Engineer, where they optimized nuclear reactor core reloading, developed time series data generation methods for predictive maintenance of the electrical network, and created a NLP web application for extracting information from nuclear engineering documents. Currently, since March 2021, they are working as an AI Research Engineer and Team Lead at InstaDeep Ltd, where they are responsible for project management and has developed, deployed, and maintained bioinformatic software for improving DNA synthesis.

Aurélien Delfosse has a diverse education history. Aurélien obtained a Master's degree in Energy-Mechanic-Computing from Icam - Institut Catholique d'Arts et Métiers, graduating in 2013. From 2013 to 2015, they pursued a Master's degree in Applied Mathematics at the University of Lille 1 Sciences and Technology. Subsequently, in 2016 and 2017, they attended the Conservatoire National des Arts et Métiers, where they focused on Machine Learning and Deep Learning in the field of Artificial Intelligence.

Apart from their formal education, Aurélien Delfosse has also acquired various certifications. Aurélien completed a Data Engineering Nanodegree at Udacity in September 2022. At the same institution, they pursued a Deep Reinforcement Learning Nanodegree in 2018. Additionally, they obtained a TOEIC score of 910 from ETS Global B.V. Some certifications, such as Algorithmic Toolbox, Basics of Supply Chain Management, Cleaning Data in Python Course, Data Analysis in R (the data.table Way), Data Visualization with ggplot2 (1), Deep Learning in Python Course, Manipulating Dataframes with pandas, and Python Data Science Toolbox (Part 1) Course, have been mentioned without clear information on the specific dates of obtaining them or the institutions providing them.