• Analyzed complex datasets for Vintage Limited using Excel Pivot Tables and Python to uncover inefficiencies in supply chain, shipping, and regional sales trends. • Used Linear and Polynomial Regression to forecast sales and profits. • Designed an interactive Power BI dashboard that dynamically visualized key trends, enabling real-time decision-making based on parameter selections. • Proposed strategies to reduce shipping costs with Shortest Path Algorithms and conducted profit analysis using Python.