Alexis Sair
About Alexis Sair
Alexis Sair is a Senior Data Scientist at xpln.ai in Ville de Paris, France, where he has worked since 2022. He holds degrees in Applied Mathematics and Data Science, and has experience in various roles including internships in algorithmic trading and machine learning.
Work at xpln.ai
Alexis Sair has been serving as a Senior Data Scientist at xpln.ai since 2022. Located in Ville de Paris, Île-de-France, France, Alexis has contributed to the company's data science initiatives for two years. The role involves applying advanced data analysis techniques to drive insights and support decision-making processes.
Work at Rakuten Advertising
Since 2020, Alexis Sair has worked as a Data Scientist at Rakuten Advertising. This position, also based in Ville de Paris, Île-de-France, France, has spanned four years. Alexis focuses on leveraging data to enhance advertising strategies and optimize performance metrics.
Education and Expertise
Alexis Sair studied at École Polytechnique from 2015 to 2019, where they achieved expertise in Mathématiques appliquées, Machine Learning, and Mathématiques Financières. Additionally, Alexis obtained a Master 2 (M2) in Datascience from Université Paris-Saclay in 2019. This educational background provides a strong foundation in quantitative analysis and machine learning methodologies.
Previous Experience
Prior to current roles, Alexis Sair gained experience as a Machine Learning Intern at Capital Fund Management (CFM) in 2019 for six months. Alexis also worked as an Algorithmic Trading Research Intern at Societe Generale Corporate and Investment Banking (SGCIB) in 2018 for four months. Earlier, Alexis served as an Aspirant in the Armée de Terre for three months in 2016 in Abu Dhabi, United Arab Emirates.
Academic Background
Alexis Sair's academic journey includes studying at Lycée Louis-le-Grand from 2012 to 2015, focusing on Mathématiques, Physique, Informatique, and Chimie. Additionally, Alexis attended Ecole Spéciale Militaire de Saint-Cyr in 2015 for 11 months, achieving the rank of Aspirant. This diverse educational background supports a robust understanding of scientific and technical principles.