Customer Shopping Behavior Analysis

End-to-end customer behavior analytics project using SQL, Python, and Power BI to study shopping patterns, build dashboards, and communicate business recommendations.

Project Type

Data analytics and business intelligence portfolio project.

Objective

This project is organized as a portfolio case study to show the full analysis workflow: understanding the business problem, preparing the data, exploring patterns, building the final output, and communicating insights clearly.

Business Questions

• What purchasing patterns appear across customers?
• Which behaviors can inform sales and marketing strategy?
• How can SQL, Python, and dashboarding work together in one analytics workflow?

Tools Used

• SQL
• Python
• Jupyter Notebook
• Power BI
• CSV data
• Business analysis

Preview

Repository Contents

• Business Problem Document.pdf
• customer analysis dashboard.png
• Customer Shopping Behavior Analysis.pdf
• customer_behavior_dashboard.pbix
• Customer_Behaviour Queries.sql
• customer_shopping_behavior.csv
• Customer_Shopping_Behaviour_Analysis.ipynb
• Customer-Shopping-Behavior-Analysis.pptx
• README.md

How to Use

Review the SQL queries, notebook, dashboard file, PDF report, and presentation to understand the complete analysis workflow.

Professional Notes

This is one of the stronger portfolio projects because it combines analysis, visualization, and business communication artifacts.

Author

Created by Michael Kenechukwu as part of a data analytics and business intelligence portfolio.