Summary
Niels-peter Rønmos is a founder and data scientist with eight years of focused experience at the intersection of XBRL, machine learning, and government financial reporting. He has led national initiatives to digitalize statutory reporting—authoring Danish XBRL taxonomies and architecting systems to enable automated submission of annual reports, tax accounts and statistics. At the Danish Business Authority he built an ML capability that deployed NLP pipelines and predictive models for fraud detection and early warning across multiple countries, scaling a team and a reproducible data-science lifecycle. His work blends domain mastery of corporate registries and XBRL with hands-on Python/Scikit-learn engineering and open-source tooling for XBRL→ML transformations. Based in Copenhagen, he now applies that unique mix of regulatory, data and product thinking as founder of Xtelligent Data ApS.
8 years of coding experience
6 years of employment as a software developer
Randers Amtsgymnasium
Cand Oecon, Cand Oecon at Syddansk Universitet - University of Southern Denmark
Cand. Oecon, Economics, Cand. Oecon, Economics at Odense Universitet
Danish, English, German