Guillaume Revillon
About Guillaume Revillon
Guillaume Revillon is a Data Scientist with extensive academic and professional experience in applied mathematics and machine learning, particularly in radar signal processing and electronic warfare. He currently works at Kpler and has previously held positions at Thales and Université Pierre et Marie Curie.
Work at Kpler
Guillaume Revillon has been employed at Kpler as a Data Scientist since 2020. In this role, he applies his expertise in data analysis and machine learning to support the company's data-driven initiatives. Kpler specializes in providing data intelligence for the commodity markets, and Revillon contributes to enhancing the analytical capabilities of the organization.
Education and Expertise
Guillaume Revillon's educational background includes a comprehensive study of applied mathematics. He completed his Baccalauréat Scientifique at Lycée Rocroy-Saint-Léon from 2005 to 2008. He then pursued a Bachelor's degree in Mathématiques appliquées at Université Paris Dauphine from 2008 to 2011, followed by a Master's degree in the same field from 2011 to 2012. He further advanced his studies with a Master 2 professionnel in Ingénierie Statistique et Financière en Apprentissage from 2012 to 2013 and a Master 2 recherche in Traitement Statistique de l’Information from 2013 to 2014. He achieved a Research Doctorate in Mathématiques appliquées from Université Paris-Saclay from 2016 to 2019.
Background
Guillaume Revillon has a diverse background in data science and applied mathematics. He began his career with an apprenticeship in Actuarial Science at Groupe AGRICA from 2012 to 2013. He then completed a research internship in Machine Learning at Université Pierre et Marie Curie in 2014. His PhD studies, funded by Thales Defense Mission Systems, focused on classification and clustering issues in the presence of missing data and outliers, which he pursued from 2016 to 2019 while working as a PhD student at Thales.
Achievements
During his academic and professional journey, Guillaume Revillon has developed deep learning applications specifically for radar signal processing in the context of Electronic Warfare. His research has contributed to advancements in machine learning, particularly in handling complex data scenarios. His PhD work, which addressed significant challenges in data classification and clustering, reflects his commitment to advancing the field of data science.