Marcel Raas is Data Scientist at GoDataDriven.
Background Marcel Raas
Marcel completed a study in theoretical physics, after which he did a PhD in particle physics at CERN. His first non-academic job was for Shell, building a mathematical toolbox for optimisation and data assimilation. After that he joined ASML, working on the design of algorithms that process measurements that have to be accurate to nanometer precision.
Marcel is fluent in programming in Python, C++ and Matlab, knows mathematics relevant for machine learning (probability theory, optimisation, linear algebra) and how to use these in programming.
Outside work Marcel likes to make music (plays electric guitar in his band), or cycle with his racing bike.
Clients include: Bakkersland/Borgesius, Schiphol, and Intergamma
Marcel Raas on social media
To realize optimal results, I always strive for the highest accuracy in all the models I develop.