Jakob Elben is a Manager in AI & Data at Deloitte in Copenhagen with nine years' experience modernizing data platforms for public and private institutions. He blends hands-on machine learning and deep learning delivery—cleaning data, building models, putting them into production and exposing user interfaces—with strategic solution architecture for large-scale analytics programs. His background includes research and teaching at the University of Copenhagen, where he led population-wide registry analyses and helped design an introductory programming and numerical analysis course for 140 students. Comfortable moving between code, research and client engagement, Jakob is known for turning complex public-sector datasets into operational AI solutions and for mentoring junior analysts through those transitions.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Economics, Economics, Bachelor of Economics, Economics at Københavns Universitet - University of Copenhagen
Contributions:4 PRs, 343 pushes, 599 branches in 6 years 8 months
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