Reduced inventory overstocking costs by an estimated 15% by implementing a demand forecasting model for top-selling furniture categories using Time-Series Analysis. Engineered and executed data pipelines using Python to extract, clean, and standardize messy sales data from theCRM, resolving inconsistencies across 15,000+ transaction records and ensuring data quality for modeling. Performed detailed customer segmentation and ABC analysis on over 200 products; strategic recommendationscontributed to the Sales Manager's decision-making, enhancing promotional efforts for high-margin products andboosting overall sales activity.