My main focus at Clever is to develop and maintain the data science components used in our ancillary services product. That is, forecasting models, and data processing of charge point log messages, and all the engineering around it, including a great deal of MLOps. Besides that, I do data analysis for our smart charging product.

As the first data scientist in Clever, I’ve also been helping with building a community of data science practitioners, and hiring new colleagues.

IKEA, INGKA Group, Digital / Senior Data Scientist (promoted from Data Scientist) 2019 – 2022, MALMÖ, SWEDEN Sales forecasting models for retail and supply chain Technical interviews for data science recruitment

Nordea, Financial Crime AI / Data Scientist, Machine Learning Engineer 2016 – 2019, COPENHAGEN Classification of suspicious transactions using machine learning

DREAM, Ministry of Finance / Research Assistant 2013 – 2016, COPENHAGEN Danmarks Nationalbank, Economics Department / Student Assistant 2011 – 2013, COPENHAGEN

Education:

University of Copenhagen / B.Sc. + MSc. Economics (cand. polit) 2009 – 2016 I focused on econometrics and macroeconomic modelling. I also took an elective course in machine learning at the institute for computer science. My thesis was awarded a prize (joint 1st place) for best economics thesis in 2016: Zeuthen prize GPA 10.8 out of 12