Customer_Segmentation_and_Prediction_with_python

Customer Segmentation and Prediction project using Python, Pandas, NumPy, and Machine Learning techniques for business intelligence and customer behavior analysis.

Project Overview

This project focuses on customer segmentation and prediction using Python-based analytics and machine learning techniques. The analysis helps businesses understand customer purchasing behavior and improve decision-making.

Tools & Technologies

• Python
• NumPy
• Pandas
• Google Colab
• Matplotlib
• Seaborn

Features

• Data Cleaning
• Feature Engineering
• Customer Segmentation using K-Means
• Revenue Analysis
• Purchase Frequency Analysis
• Business Intelligence Dashboard

Dashboard Preview

[Dashboard]

Key Insights

• High-value customers contribute significantly to revenue.
• Different customer groups show different spending behavior.
• Customer segmentation improves personalized marketing strategies.

Author

Souvik Bagchi

• LinkedIn: www.linkedin.com/in/souvik-bagchi-data-analyst
• GitHub: https://github.com/Souvik1555
• Email: bagchiofficial05@gmail.com