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analytics-project

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Developed an interactive Sales Performance Dashboard using Excel and Power BI to analyze key metrics such as sales, profit, and customer segments. Implemented time-based, regional, and category-level analysis with dynamic visualizations to identify trends and support data-driven decision-making.

  • Updated Apr 7, 2026

📊 End-to-end data analytics project analyzing a bank’s loan portfolio to identify profitable segments, high-risk borrowers, and strategic insights using Python, Jupyter Notebook, and data visualization.

  • Updated Dec 1, 2025
  • Jupyter Notebook

This dataset contains detailed coffee sales transactions across multiple store locations, including product details, quantities, prices, revenues, and timestamps. It enables comprehensive analysis of sales patterns, customer preferences, peak hours, and regional performance to support data-driven business decisions.

  • Updated Feb 28, 2026

Interactive Power BI dashboard analyzing telecom customer churn, behavior patterns, and retention insights using KPIs, DAX, and visual analytics. Includes churn reasons, customer segmentation, and service-wise churn trends.

  • Updated Nov 28, 2025

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