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1. Marketing-Analysis Marketing-Analysis Public

   This project analyzes ShopEasy's marketing data using SQL, Python, and Power BI to provide actionable insights for improving customer engagement and conversion rates.

   Python

2. -A-B-Testing-Project-E-commerce-Conversion-Optimization -A-B-Testing-Project-E-commerce-Conversion-Optimization Public

   Conducted an A/B test on e-commerce landing pages to evaluate conversion impact of a new design. Applied statistical testing (two-proportion z-test, confidence intervals, power analysis) and found …

   Jupyter Notebook

3. Customer-Churn-Prediction Customer-Churn-Prediction Public

   Predicted customer churn using the Churn_Modelling dataset. Random Forest achieved ~86% accuracy, highlighting key drivers like age, balance, credit score, and geography. Insights support targeted …

   Jupyter Notebook

4. E-Commerce-Big-Data-Analytics-with-PySpark-SQL E-Commerce-Big-Data-Analytics-with-PySpark-SQL Public

   Built an end-to-end big data analytics pipeline using **PySpark** on 885K+ e-commerce events. Performed data ingestion, cleaning, transformation, and Spark SQL analysis to extract KPIs like revenue…

   Jupyter Notebook

5. Customer-Segmentation-Project Customer-Segmentation-Project Public

   This project employs RFM analysis and K-Means clustering in Python to segment an online retailer's customers, delivering insights for targeted marketing

   Jupyter Notebook

6. Retail-Store-Trial-Analysis Retail-Store-Trial-Analysis Public

   Retail analytics project using Python to analyze customer behavior, identify key sales drivers, and evaluate the effectiveness of a store trial through statistical analysis.

   Jupyter Notebook