Retail Operations & Sales Analytics Project

Overview

This project demonstrates skills in:

• Data cleaning and transformation
• Exploratory data analysis (EDA)
• SQL querying
• Python-based analytics
• Dashboard creation (Power BI or Tableau)
• Business insights and communication

The dataset simulates:

• Transactions
• Products
• Store locations
• Inventory levels
• Customer behavior patterns

Project Structure

data-analytics-project/ � README.md � requirements.txt +-- data/ +-- notebooks/ +-- scripts/ +-- dashboard/ +-- visuals/

Key Questions

• Top-performing products
• Peak sales hours
• Store performance
• Inventory forecasting
• Customer segments

Insights Summary

• Peak sales: 12�2 PM and 5�7 PM
• Beverages have highest margin
• Store #3 underperforms
• Overstock can be reduced 12�18%

Dashboard Includes

• Sales Overview
• Product Performance
• Store Comparison
• Inventory Forecasting
• Customer Behavior

Author

Darrius Jones GitHub: https://github.com/Djones-qa LinkedIn: https://www.linkedin.com/in/darrius-jones-28226b350/