National Finalist with a rank of 7 out of 600+ teams for analyzing sales data of an e-commerce company spread across six financial markets worldwide. Analyzed key trends such as customer loyalty and retention, market performance and seasonality through extensive data visualization using plots like squarify and choropleth maps.
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National Finalist with a rank of 7 out of 600+ teams for analyzing sales data of an e-commerce company spread across six financial markets worldwide. Analyzed key trends such as customer loyalty and retention, market performance and seasonality through extensive data visualization using plots like squarify and choropleth maps.
Sharvari289/Python-Global-E-Commerce-Market-Data-Analysis-National-Finalist-at-IIT-Delhi
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National Finalist with a rank of 7 out of 600+ teams for analyzing sales data of an e-commerce company spread across six financial markets worldwide. Analyzed key trends such as customer loyalty and retention, market performance and seasonality through extensive data visualization using plots like squarify and choropleth maps.
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