Rasmus is a highly specialised data analyst. Rasmus has extensive experience in data mining, machine learning and microeconometric methods on a wide variety of data sources. Rasmus is strong in statistical programming and methods for analysing big data.
Rasmus has completed his master’s degree in economics from the University of Copenhagen, where he specialised in data analysis and econometrics. Rasmus has taken part of his education at the Department of Applied Mathematics and Computer Science at the Technical University of Denmark.
Rasmus has previously worked as a student at Insurance & Pension Denmark and as a research assistant for Professor Karsten Theil Hansen at the University of California, San Diego.
Phone: +45 42207249