I am a Data Scientist at the leading charge provider in Denmark, Clever. My focus is to develop and maintain data science components used for Clevers ancillary services products. My main tasks are forecasting our customers consumption, documentation of our customers charge points reaction times in the ancillary service markets and analyzing electricity market data. My knowledge thus spans from technical implementation of our solutions through our code base to deep insights about electricity markets and tendencies.

I have a background in engineering with a B.Sc. and M.Sc. from the Technical University of Denmark where I majored in Transportation and Logistics. Here I mainly focused on optimizing complex systems through data science, machine learning and mathematical optimization. My thesis was focused on forecasting vacancy at public chargers and led me to my interest within the EV industry.