Alexandre is a data scientist at Pala, responsible for developing proprietary technical analysis and intelligence tools to enhance Pala’s commodity and macro views, as well as the development and integration of internal tools.

His models use python and machine learning to automatically analyse data. The generated results are then automatically provided to the team via a customised internal website. The purpose of the results is to generate trade ideas, predict the prices direction, and determine the right time to enter a trade.

Alexandre holds a PhD in Data Science from Fribourg University, and a Master's degree in Physics from EPFL. His previous projects include the development of recommender system for social networks, and the creation of a tool using artificial intelligence for animal tracking.