Projects
A collection of things I've built, from experimental prototypes to production-scale applications.
Vendor Performance Analysis
This Vendor Performance Analysis project leverages Python, Pandas, and Power BI to dissect over 10,000 transactions, transforming raw data into strategic supply chain intelligence. By identifying a significant 65.69% purchase concentration among the top 10 suppliers, the study quantifies high-level dependency risks while simultaneously uncovering $2.71M in stagnant inventory that directly hampers liquidity. Beyond surface-level metrics, the application of rigorous hypothesis testing confirmed statistically significant profit margin variances of up to 41.55% between vendor groups, providing a data-backed roadmap for optimizing procurement and enhancing overall inventory efficiency.