I worked on a project analyzing manufacturing and demand data to detect inefficiencies in production alignment. I built a predictive model to forecast demand by product family and used clustering to identify underutilized lines. This improved supply-demand matching and informed adjustments in manufacturing strategy, helping to reduce lead time and excess inventory.