Summary
Johan Norlin is a data analyst with 14 years of experience, currently focusing on AI, analytics and data at H&M Group in Copenhagen after building domain expertise in automotive battery manufacturing. He turns complex manufacturing and customer datasets into actionable insights, automates data collection pipelines, evaluates ML model performance, and delivers clear visualizations that guide strategic decisions. His background spans end-of-line battery testing, quality systems, and multivariate analysis from a master’s thesis at Northvolt, giving him a rare combination of hands-on production engineering and analytical rigor. Johan’s cross-functional work with R&D, quality and production teams enables practical improvements in yield and process stability, not just predictive models. Trained in Industrial Engineering & Management with international experience at Clarkson University, he blends systems thinking with stakeholder communication to move analytics from insight to impact. Colleagues rely on him for translating technical results into business cases that drive measurable operational change.
14 years of coding experience
3 years of employment as a software developer
Master of Science, Industrial Engineering & Management, Master of Science, Industrial Engineering & Management at Luleå tekniska universitet
Engineering & Management, Engineering & Management at Clarkson University