Louis graduated as a Master in Computer Science at KU Leuven in 2018, after completing a Bachelor in Informatics at the same university.
During his Master Degree, he specialized in Artificial Intelligence and was able to gain proficient knowledge in fields like Machine Learning and Natural Language Processing.
Although he learned a lot during his time in Leuven, he felt that his broad knowledge about computer science was mostly academic-based, and he wanted to combine this technical knowledge with some more practical knowledge, mainly applied to businesses. On top of that, he started to get more interested in the domain of Big Data and Data Science.
The combination of these factors led to his choice to pursue another Master degree; a Master in Business Analytics and Big Data at IE Business School in Madrid. The international environment of the school, as well as the fact that the Master was ranked #3 for Business Analytics in Europe, powered this decision.
Through interactive classes, taught by professors with hands-on experience at companies like Amazon and IBM, numerous group projects and challenging Datathons with real-life data sets, Louis was able to boost his knowledge on how to turn data into a powerful driver in diverse companies and industries. His year in Madrid was also an excellent opportunity to extend his network internationally and work in a cultural diverse setting.
For his Master’s thesis in Leuven, Louis decided to combine two of his passions: Data Analytics and football (soccer). In “Data-Driven detection of unusual football players”, he used football data and Machine Learning techniques to detect players with an unusual playing style, based on their position. To this day, Soccer Analytics remains a subject that interests him a lot.