Bjorn Melin account profile

Led AWS migration for 3M’s CRAL, cutting cloud costs by 60% and creating scalable infrastructure. Built Python libraries to reduce dependencies by 80%, enhancing manufacturing analytics. Developed ML models, including 95%+ accurate Random Forest Regression, improving property uniformity by 20%. Standardized IaC and CI/CD pipelines, reducing deployment times by 60% and boosting reliability. Created reusable Docker images, cutting deployment times by 50% and ensuring consistency.

Led a $750M impact project for 3M’s top customers, developing a cloud-based pipeline to process FTIR-ATR data for instrument validation and comparison. Built ML models to normalize multi-instrument data for manufacturing use, enabling real-time analysis and resolving an urgent adhesive issue.

Implemented secure AWS S3 storage for data sharing between 3M and University of Chicago, enabling AI/ML advancements with ~20% accuracy improvement. Founded 3M’s "Python Plotly Dash Working Group," developing reusable templates and pipelines, facilitating the launch of 10+ Dash apps across divisions. Led the creation and deployment of a Dash-based AHP tool on AWS, earning company-wide recognition and driving internal adoption of advanced Data Science tools.