Aksel Uhr

Aksel Uhr is a skilled BI-consultant currently working at Random Forest, specializing in ETL pipeline setup and data analysis using Power BI and Microsoft Fabric. Aksel's previous experience includes evaluating LLMs and developing machine learning backend architecture at Skolmedia / Ingeborn Data, as well as conducting a master's thesis on time series analysis and binary classification at Volvo On Demand. Additional roles include a software developer internship at Wergonic AB, where Aksel contributed to a cloud-based ergonomic risk assessment application, and leadership as a team leader at THS Armada. Aksel holds a master’s degree in Software Engineering Data Science from KTH Royal Institute of Technology and a bachelor's degree in Systems Development from Uppsala University.