Robert Cedergren

Robert Cedergren is a Machine Learning Engineer at SponsWatch since February 2023, focusing on developing and maintaining machine learning pipelines to evaluate sponsorship exposure in sports. Prior experience includes a Data Scientist role at Securitas Group, concentrating on risk prediction and client insights, and a Machine Learning Engineer position at Bencha, where Robert implemented recommendation models and classification tasks for fashion items. Earlier roles include Junior Quantitative Researcher at Lynx Asset Management, where machine learning was applied to financial market prediction, and a Data Scientist Intern at H&M, working on image recognition projects. Robert's academic background includes a Master’s degree in Machine Learning from KTH Royal Institute of Technology and dual Bachelor's degrees in Mathematical Statistics and Business Administration from Stockholm University.