Check out my projects below!

⭐️Featured Project (Jupyter/Anaconda)

🛍️Customer Behavior & Revenue Optimization Analysis

Customer Shopping Behavior and Loyalty Insights-2.pdf

📊Overview

Analyzed 3,900+ transactions to identify key drivers of customer loyalty, purchasing behavior, and revenue growth.

🛠️Tools & Technologies

• Python (Pandas, NumPy)
• Jupyter Notebook
• Data Cleaning & EDA
• Data Visualization (Matplotlib, Seaborn)

🔎Key Insights

• High-frequency customers generated the highest lifetime value
• Discount-heavy customers showed lower retention
• Subscription users had more consistent purchasing behavior

💡Business Insights

• Focus marketing on high-value customer segments
• Reduce reliance on discount strategies
• Invest in subscription-based revenue models