Machine Learning project for customer churn analysis and prediction using data preprocessing, exploratory data analysis (EDA), and classification models to identify customers at risk of leaving.
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Updated
Jun 13, 2026 - Python
Machine Learning project for customer churn analysis and prediction using data preprocessing, exploratory data analysis (EDA), and classification models to identify customers at risk of leaving.
Interactive Power BI dashboard for analyzing retail sales performance using the Sample Superstore dataset.
This is a retail analysis dashboard on Power BI built with a star schema data model to analyze sales, products, shipping performance, and other necessary statistics
End-to-end e-commerce analytics platform featuring SQL, Python, RFM segmentation, cohort retention analysis, Pareto analysis, and an interactive Streamlit dashboard for business decision-making.
SQL/Excel analysis of retail sales data - revenue, profitability, and customer trends
Power BI + SQL + Python analytics dashboard for a technology consulting company. Tracks leads, projects, utilization, and revenue KPIs to support business decisions.
E-commerce sales data analysis using Python, Pandas, and data visualization to generate business insights.
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