Marco Puts is a methodologist and lead data scientist at Statistics Netherlands with over a decade of experience turning big data and machine learning methods into robust inputs for official statistics. Trained as a PhD experimental psychologist with a background in cognitive science and computer science, he blends rigorous research design and statistical modeling with practical skills in C++ and large-scale data processing. At the Center for Big Data Statistics he investigates novel data sources and methodological challenges, bridging academic research (guest researcher at Radboud University) and national statistical practice. His work is notable for applying experimental and cognitive-science rigor to the messy realities of administrative and big data, ensuring solutions are both scientifically sound and operationally scalable.
10 years of coding experience
14 years of employment as a software developer
PhD, Experimental Psychology, PhD, Experimental Psychology at Radboud University
Bsc, Computer Science (Technische Informatie Systemem), Bsc, Computer Science (Technische Informatie Systemem) at Zuyd University of Applied Sciences
Contributions:3 pushes, 1 branch in 3 years 2 months
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Marco Puts - Methodologist And Lead Data Scientist