End-to-end supply chain analytics project utilizing the DataCo Supply Chain Dataset. It includes data cleaning, exploratory analysis, advanced SQL analytics, database engineering, and an interactive Power BI dashboard. The goal is to analyze sales, profitability, and supply-chain operations for actionable business insights.
From the README
🚚 Supply Chain & Profitability Analytics An end-to-end Supply Chain Analytics and Business Intelligence project built using the DataCo Supply Chain Dataset. This project covers the complete data analytics lifecycle — from raw data cleaning and exploratory analysis to advanced SQL analytics, database engineering, and an interactive Power BI dashboard. The objective is to analyze sales, profitability, customers, products, orders, regions, and supply-chain operations and translate the findings into actionable business insights. --- 📌 Project Overview Supply chain businesses generate large volumes of data across customers, products, orders, shipping, sales, and profitability. This...
Skills
- Jupyter Notebook
- PLpgSQL
- analytics
- data-analysis
- functions
- matplotlib
- numpy
- pandas
- portfolio
- portfolio-project
- postgres
- postgresql
