Gauthier P.
About Gauthier P.
Gauthier P. is a Machine Learning Engineer currently working at Teads in Paris, France. He has a strong background in data science and statistics, with previous experience at IDEMIA, the University of Cambridge, BNP Paribas, ENGIE Global Markets, and Wintics.
Current Role at Teads
Gauthier P. has been employed as a Machine Learning Engineer at Teads since 2021. In this role, he focuses on developing and implementing machine learning models to enhance advertising technology solutions. His work contributes to optimizing digital marketing strategies and improving user engagement through data-driven insights.
Previous Experience in Data Science
Prior to his current position, Gauthier P. worked at Wintics as a Machine Learning Engineer from 2020 to 2021. He also held various internships, including a role as a Junior Data Scientist at IDEMIA in 2019, where he worked for six months in Paris La Défense. His experience includes a Machine-Learning Research Internship at the University of Cambridge in 2018 and a Quantitative Analyst Intern position at ENGIE Global Markets in 2017.
Educational Background in Data Science and Statistics
Gauthier P. holds two Master's degrees. He studied Data Science at École Polytechnique from 2018 to 2019 and earned a Master's degree in Statistics from Ensae ParisTech, where he studied from 2015 to 2019. His educational background provides a strong foundation in quantitative analysis and machine learning methodologies.
Internship Experience in Finance
Gauthier P. gained valuable experience in the finance sector through internships. He worked as a Quantitative Investment Strategies Structuring Intern at BNP Paribas Corporate and Institutional Banking from 2017 to 2018. Additionally, he completed a three-month internship as a Quantitative Analyst Intern at ENGIE Global Markets in 2017, where he applied statistical methods to financial data.