About Me

I recently graduated from the Toulouse School of Economics where I managed top my track "Econometrics and Empirical Economics". My main areas of interest are machine learning, efficiency analysis and climate change. Currently, I am participating in a coding challenge hosted by Capgemini and Microsoft with the objective of using image recognition models to predict carbon emissions, biodiversity, and solar potential from aerial images.

My main analytical tools are Python, R and SQL. I also have some experience with STATA and Matlab. I frequently use LaTex for drafting reports and presentations.

When I am not wrangling with data, I like to dive into political, philosophical and economic literature, as well as non-scientific articles on physics. I get excited thinking about future societal challenges and the characteristics of a just and efficient system.