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Cyril E. has worked in a variety of roles over the past five years. In 2016, they completed a Worker Internship at the Department of Defense (DGA). In 2017, they worked as an Engineer Internship at the CNRS - National Center for Scientific Research, where they worked on the ThomX project and conducted file processing and summary sheet creation. In 2018, they completed a Data Scientist Internship at Sopra Steria, where they created a private Kaggle competition about credit card fraud and conducted a study on dimension reduction techniques. In 2019, they completed a Research Intern in Deep Learning at Dassault Systèmes, where they worked on accurate detection of somatic mutations in DNA sequences using Deep Learning (CNN) and large-scale datasets. Cyril also completed a Challenge AI & Retail at Carrefour, where they created a Machine Learning algorithm to predict food transition of consumers. In 2020, they completed a Summation Programme at SGInnovate, where they worked on a medical research project at Qritive, designing and implementing a deep learning algorithm to perform segmentation on whole slide images. Cyril also completed a Data Scientist role at Us2.ai.

Cyril E. has a Master 2 (M2) in Data Science from École Polytechnique, a MEng in Quantitative Finance from ECE. Ecole d'ingénieurs. Engineering School., and an Academic Exchange from Tecnológico de Monterrey. Cyril also has certifications from the Autorité des marchés financiers (AMF) – France, ETS for TOEFL IBT and TOEIC Listening and Reading.