Summary
Eugene Ndamukong is a data scientist with eight years of experience applying industrial statistics and bioinformatics training to real-world problems, currently driving analytics at PVH Corp. He combines rigorous M.Sc. credentials from KU Leuven with hands-on freelance and in-house roles, translating complex data into actionable insights for business contexts. Comfortable across statistical modeling, experimental design, and applied machine learning, he brings a scientist’s rigor to production analytics pipelines. Based in Haarlem, Eugene pairs a strong academic foundation with practical, remote-first experience and a genuine passion for statistical thinking that informs robust, interpretable solutions.
8 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.) Industrial Statistics, Master of Science (M.Sc.) Industrial Statistics at KU Leuven
English, French, Dutch