Charles specialized in the marketing side of Data Science by pursuing the Master in Marketing Analysis at Ghent University, from which he graduated in 2018.
During his Master in Marketing Analysis, Charles gained profound insights and skills in Data Science topics & techniques such as predictive analytics in Python, R and SAS, and building deep neural networks in Keras.
Prior to his specialization in Data Science, Charles graduated as a Business Engineer in Operations Management at the same university in 2017.
During his studies, Charles was part of a one year exchange program with the Kobe University in Japan where he deep-dived in the Japanese culture of Operations Management. In that year, he also did an internship at Village Island Co., Ltd. in Tokyo, doing research on new opportunities in the broadcasting and telecom industry. During this research, Charles came into contact with Big Data and all the exciting opportunities Data Science offers, and decided to specialize another year in this innovative domain.
In order to gain some more professional experience while studying, Charles worked for the Cookware Company in Belgium where he set up and maintained Sales dashboards for the e-commerce department.
In his master thesis, Charles created a metaheuristic solution method for the materials supply of mixed-model assembly lines in the automobile industry.
This solution method tackled an operational problem by using machine learning techniques such as genetic algorithms and particle swarm optimization.
Charles joined element61 in 2018.