Production grade Supply Chain & Logistics Optimization platform handling 100,000+ records. Built with Star Schema, Advanced DAX, and AI Root Cause Analytics in Power BI.
End-to-end logistics operations analysis using Power BI, DAX and Power Query to track a $298M portfolio across revenue, fleet efficiency, and risk.
This margin analysis quantifies unrecovered profit, identifies loss making jobs, clients, and routes, and delivers clear recommendations to improve pricing and operational efficiency.
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.
🏗️ Modern Analytics Engineering project using dbt and BigQuery to model fleet operations. Implementing a Medallion Architecture, it transforms raw GPS data into a reliable Star Schema. Focuses on resolving data quality issues like sensor noise and duplicates through automated testing and CI/CD to ensure production-grade reporting.
Analyzing global flight patterns, passenger volumes, and airline performance to identify travel trends and logistics bottlenecks
End-to-end analytics project for monitoring shipment performance, service quality, incidents, and customer experience in an express logistics context.
Pipeline analítico de logística com PostgreSQL, dbt, Airflow e Streamlit para análise de SLA, performance regional e eficiência operacional aplicando arquitetura multicamadas e analytics engineering.
Power BI Transport & Delivery Analytics Dashboard optimizing logistics. Features real-time GPS fleet tracking, route optimization, and multi-timeframe analytics to achieve a 40% reduction in delivery time, a 35% decrease in fuel consumption, and $75,000 in annual cost savings for supply chain operations.
Supply chain analytics dashboard with Python, PostgreSQL and Power BI
End-to-end SQL analytics case study solving 7 real supply chain business problems across 180,519 orders. delivery performance, profitability, regional sales, and more.
An end-to-end retail intelligence system combining SQL database design and Power BI dashboards to track enterprise sales, inventory health, staff productivity, and shipment logistics
📈 End-to-end e-commerce analytics project analyzing ~100k Brazilian marketplace orders using SQL, Python, and Power BI.
End-to-End Supply Chain Analytics Dashboard using SQL, Python, and Power BI. Analyzed inventory, supplier performance, logistics costs, shipping efficiency, and profitability KPIs through interactive business intelligence dashboards.
Renewable-energy logistics analytics and freight audit using SQL, Python, Power BI, Excel, and manifest-backed data-quality controls.
End-to-end warehouse analytics system: SQL bottleneck detection, RandomForest delay prediction (ROC-AUC 0.876), and a 4-page Streamlit dashboard with automated business recommendations.
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.
End-to-end Business Intelligence & Data Engineering project analyzing food delivery logistics, financial performance, and customer cohorts.
Optimizing logistics dispatch schedules using Simple Linear Regression to forecast delivery times.
Comprehensive analysis of Brazilian E-commerce data: orders, deliveries, reviews, seller performance, and revenue insights.
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