sales and logistics analytics project

Financial Overview:

Analyzed a massive dataset with $109.85M in total sales, maintaining a 10.19% profit margin.

Operational Depth: Integrated shipping and

delivery metrics to identify the most cost-effective ship methods.

Granular Insights: Leveraged the Decomposition

Tree to break down order counts by category, sub-category, and specific product attributes like size and color.

Future Readiness: Implemented Trend Forecasting

to visualize potential growth and assist in strategic planning.

Tech Stack: SQL Server | Power BI | DAX | Data

Modeling

This project was a great journey in mastering how to tell a compelling story through data.