This project focuses on analyzing customer shopping behavior to uncover meaningful business insights.
By combining Python, SQL, and Power BI, the project demonstrates a complete end-to-end data analytics workflow — from raw data processing to interactive dashboard reporting.
The goal is to help businesses understand:
- Customer purchasing patterns
- Product performance
- Revenue trends
- Customer retention behavior
and support data-driven decision making.
- Python – Data cleaning, preprocessing, and analysis
- Pandas, NumPy, Matplotlib, Seaborn – Data manipulation & visualization
- SQL – Querying and transforming data
- Power BI – Interactive dashboards & business reporting
- 🧮 Customer segmentation based on behavior
- 📦 Product & category performance analysis
- 🔁 Repeat purchase & retention analysis
- 📈 Revenue and sales trend analysis
- 🛒 Purchase frequency & order value insights
The Power BI dashboard presents:
- Sales & revenue trends
- Top-performing products & categories
- Customer distribution & behavior
- KPIs for business performance tracking
- Data Collection
- Data Cleaning & Preprocessing (Python)
- Exploratory Data Analysis
- SQL-Based Query Analysis
- Dashboard Creation in Power BI
- Business Insight Generation
This project helps organizations:
- Improve customer retention
- Optimize product strategy
- Identify growth opportunities
- Enhance marketing decision making
This project demonstrates strong skills in data analysis, visualization, and business intelligence, making it suitable for roles such as Data Analyst, Business Analyst, and Data Scientist.