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.
Power BI + SQL + Python analytics dashboard for a technology consulting company. Tracks leads, projects, utilization, and revenue KPIs to support business decisions.
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
Interactive Power BI dashboard for analyzing retail sales performance using the Sample Superstore dataset.
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