Seiji Kumagai is a product-focused data analytics leader with 14 years of experience, currently driving model-to-production initiatives as Product Owner for Data Analytics at KBC in Brussels. Trained in statistics and evolutionary ecology, he blends rigorous quantitative thinking with practical machine learning engineering to close the gap between model development and real-world business impact. He has progressed from data scientist to team lead and product owner, championing deployable-model workflows that minimize overhead for data scientists while coordinating closely with data engineers and ICT teams. Comfortable with both research-grade simulation work and production ML pipelines, he brings a rare mix of academic modeling experience and hands-on deployment pragmatism. Notably, his focus is on making deployment considerations part of the modeling phase, speeding delivery without sacrificing scientific rigor.
14 years of coding experience
10 years of employment as a software developer
Master of Science (MSc) Statistics, Master of Science (MSc) Statistics at KU Leuven
M.S. Evolutionary Ecology, M.S. Evolutionary Ecology at Duke University
Educational Psychology, Educational Psychology at International Christian University
Master’s Degree Applied Ecology, Master’s Degree Applied Ecology at Stony Brook University
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