End-to-end logistics operations analytics project using SQL and Power BI. Built a relational database, created analytical views, and developed dashboards to analyze driver performance, revenue per trip, and on-time delivery trends.

Comprehensive analysis of Brazilian E-commerce data: orders, deliveries, reviews, seller performance, and revenue insights.

End-to-end Commerce & Logistics Analytics project using Python, SQL Server, and Power BI

A Python-based decision support tool that forecasts short-horizon demand, evaluates capacity utilization risk, and produces prioritized mitigation actions with backtest accuracy (MAE/MAPE) and a professional PDF report.

Interactive Excel logistics dashboard tracking OTIF, SLA compliance, delay trends and return rates across 200 shipments — revealing a 42.5% SLA breach rate and 235% increase in delays from January to July.