FIDA EDAVALATH

Analyzed inventory and sales data for 25, 000+ SKUs across pharmaceutical, cosmetics, and FMCG categories to
support data-driven business decisions.
Built and maintained inventory performance reports and dashboards, tracking key metrics including stock levels,
inventory turnover, stock discrepancies, and product movement.
Conducted trend analysis on sales and inventory data to identify demand patterns, optimize stock levels, and provide
recommendations for purchasing and replenishment.
Generated expiry analysis reports with a focus on near-expiry products, helping reduce inventory losses and improve
stock rotation through actionable insights.
Worked extensively with large datasets in Microsoft Excel, performing data validation, cleaning, analysis, reporting,
and presenting insights to support business decisions
Collaborated with cross-functional teams including procurement, operations, and store teams to improve inventory
accuracy and operational efficiency.

Led many comprehensive project utilizing machine learning techniques like advanced clustering, Random forest
with ensemble methods, classification and Regression