Within the domains of algorithms, optimization, applied artificial intelligence (AI) and machine learning (ML), Dr. Muhammad Azam Sheikh has actively contributed for several years under various roles and capacities such as research projects supervision and evaluation, curriculum, and project handbook development, teaching and conducting both theoretical as well as applied research in collaboration with industry.

At SKF, besides working as a lead data scientist and business analyst, Azam is also developing the playbook for delivery readiness, evaluation, and follow-up process for data products. The focus is to mitigate challenges faced during the entire lifecycle of AI/ML projects using real-life data science use cases from the manufacturing process. The aim is to set the data science projects for success right from the ideation stage.

Before joining SKF, Azam previously worked as Data Science Research Engineer at Chalmers University of Technology, Gothenburg Sweden. The role was connected to the Big Data initiative at Chalmers and Chalmers AI Research Centre (CHAIR), where Azam has been the primary applied data science, resource person, for a number of projects within the areas of ICT, Production, Health Engineering, Energy, and Transport.