Market basket analysis, RFM analysis, Return analysis, Sale performance, Customer Lifetime value analysis My project uses Power BI and Python to analyze the performance of a retail company

Link Dataset: Ecommerce Dataset (Source Kaggle)

• Explore some metrics related to customers in different groups based on demographic features and purchasing behavior
• Calculate customer lifetime value, RFM analysis to segment customer, suggest strategic plan for each group
• Explore churn customer, and returned orders and identify patterns to reduce them
• Execute market basket analysis to enhance cross-sell strategy
• Track sale performance over time and in different categories and customer group Short Summary EDA

• Data preprocessing
• Data modeling
• Exploratory data analysis
• Identify buying patterns and track performance
• Create actionable dashboards

Some Metrics in the Project