Implemented supply chain management scripting to optimize inventory classification and supplier management processes through the use of ABC segmentation and Kraljic Matrix.

The original dataset is a year's worth of electronics sales transactions. It has around 185K records and 11 attributes. Business Objective: Identify the products which generated 80% of profit.

University project provided by Alkemy. Market analysis and strategic consultancy for a possible client in the retail sector.

Professional warehouse transfer planning tool with stockout correction algorithms and Excel reporting

This project demonstrates Excel-based inventory optimization for 50 SKUs using ABC Classification, Safety Stock, Reorder Point (ROP), and Economic Order Quantity (EOQ). The analysis highlights demand variability, holding cost distribution, and replenishment efficiency—providing insights for e-commerce supply chain management.

This project documentation was developed as a free project, as a data analyst from the fictional company Sell Boardgames would do in his daily work.

[WORK PROJECT] Data-driven hospital logistics: ABC inventory categorization & SARIMAX demand forecasting via Flask + MongoDB. Synthetic, domain-informed (Type II PH).

Unlock smarter inventory decisions by combining Generative AI and MongoDB Atlas Vector Search.