Daniel Öberg

Daniel Öberg is an accomplished Analytics Domain Architect and Data Scientist at Swedbank, where responsibilities include leading the design and deployment of machine learning models for transaction monitoring, significantly enhancing fraud detection capabilities. Prior experience includes serving as a Senior Data Scientist at Arbetsförmedlingen, focusing on large-scale text analysis and fraud prevention, and holding a contract role as a Technical Project Manager and Data Scientist at Volvo Cars, where a proof-of-concept system for guided dealership experiences was developed. Daniel's early career involved data science roles at Voddler Group and Svenska Spel, emphasizing real-time media delivery and image analysis. Education includes a Master’s degree in Computer Science and Engineering from KTH Royal Institute of Technology.