Emil Rehnberg

Emil is the lead for the data science group in EDFA, an ML-powered application for hardware demand forecasting in supply chains. He is a statistically minded data scientist and has a background in mathematical statistics, epidemiology research and web app programming. With this background comes experience in supporting researchers with experiment design and statistical analysis as a biostatistician and analyzing data, lead scoring and forecasting as a data scientist.

During his time at Ericsson, Emil has developed a passion for project management and software frameworks to really bring business value in data science use-cases.