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  1. Superstore-sales-analysis Superstore-sales-analysis Public

    Power BI–based analysis of Superstore sales data to derive actionable insights for improving profitability and operational efficiency.

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    These short challenges focus on learning core Python concepts such as variables, strings, lists, tuples, slicing, and user input.

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    SQL-based analysis of customer churn in an e-commerce platform, uncovering key behavioral patterns and insights for business decision-making.

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