A diverse and robust background spanning mathematics, statistics, economics, finance, and data science

My journey began with mathematics that led me to statistics. I honed my skills, gaining a profound understanding of fundamental statistical concepts. In pursuit of a broader perspective, I delved into economics and econometrics, exploring the dynamic interplay between data and economic principles.
The aftermath of the 2008 financial crisis fueled my curiosity about finance, and motivating me to pass the first two levels of the CFA.
Amidst the ever-changing landscape of information and analytics, I encountered the allure of data science.
Driven by a fervent desire to adapt and thrive, I dedicated myself to educating and upskilling in this rapidly evolving field.


Education in statistics, economics and mathematics

Degree University/engineering school Year
Master's degree with honors in public evaluation and decision making École Nationale de Statistique et Analyse de l'Information 2011-2015
Master 1 in econometrics and applied statistics University of Orléans 2011-2012
Statistics and informations analysis program École Nationale de Statistique et Analyse de l'Information 2007-2009
Bachelor's degree in economics University of Rennes 2008-2009
Classe préparatoire aux grandes écoles, in mathematics Lycée Henri Wallon 2005-2007

Certificates in data science

Certificate Institution Year
Text Analytics 1: Introduction to Natural Language Processing UCx University of Canterbury 2022
Data Science: Machine Learning HarvardX Harvard university 2021
Data Science: Productivity Tools HarvardX Harvard university 2021
SQL for Data Science IBM 2021
Data Science: Visualization HarvardX Harvard university 2021
Data Science: R basics HarvardX Harvard university 2021

Certificate in finance
Institution Year
Passed the CFA level II exam CFA institute June 2015
Passed the CFA level I exam CFA institute December 2014