An end-to-end data analytics project that transforms raw e-commerce transaction data into business KPIs, insights, and executive-ready reports. The project applies business-driven data cleaning, feature engineering, cohort-based retention analysis, and a rule-based automated insight engine to support data-driven decision-making.
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An end-to-end data analytics project that transforms raw e-commerce transaction data into business KPIs, insights, and executive-ready reports. The project applies business-driven data cleaning, feature engineering, cohort-based retention analysis, and a rule-based automated insight engine to support data-driven decision-making.
Arpit-1807/Automated-Business-Analytics-Insight-Engine-using-Python
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An end-to-end data analytics project that transforms raw e-commerce transaction data into business KPIs, insights, and executive-ready reports. The project applies business-driven data cleaning, feature engineering, cohort-based retention analysis, and a rule-based automated insight engine to support data-driven decision-making.
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