Jérémy Lesuffleur
About Jérémy Lesuffleur
Jérémy Lesuffleur is a Data Scientist with a strong academic background and extensive experience in data analysis. He has worked for notable organizations such as Jellysmack and EDF, contributing to research and development in various capacities.
Work at Jellysmack
Jérémy Lesuffleur has been employed at Jellysmack as a Data Scientist since 2022. In this role, he applies his expertise in data analysis and statistical modeling to support the company's data-driven initiatives. Jellysmack focuses on leveraging technology to enhance content creation and distribution across various platforms.
Education and Expertise
Jérémy Lesuffleur holds a Master 2 Recherche in Statistiques mathématiques et probabilités from Université Paul Sabatier (Toulouse III), which he completed in 2014. He also studied Mathématique et Informatique at Linköpings universitet during a one-year Erasmus program from 2011 to 2012. Additionally, he earned a Diplôme d'ingénieur in Méthodes et Modèles Statistiques from Institut national des Sciences appliquées de Toulouse, completing his studies in 2014.
Background in Data Science
Before joining Jellysmack, Jérémy Lesuffleur worked as a Research Data Scientist at EDF from 2016 to 2021. His role involved analyzing complex datasets to inform decision-making processes. He also served as a Consultant Data Scientist at Groupe Estia from 2014 to 2016, where he contributed to various data projects. Earlier in his career, he gained experience through internships in Research & Development at Réseau de Transport d'Électricité and EDF in 2013 and 2014, respectively.
Professional Experience
Jérémy Lesuffleur has accumulated significant experience in the field of data science. His tenure at EDF spanned five years, during which he focused on research and data analysis. His earlier roles included a two-year consultancy position at Groupe Estia and internships that provided foundational experience in data research and development. This diverse background has equipped him with a robust skill set in statistical methods and data management.