E-Commerce Sales Performance Analysis with Dashboard InsightsE-Commerce Sales Performance Analysis with Dashboard Insights
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E-Commerce Sales Data Analysis & Dashboard
​Objective: Built a data visualization dashboard to analyze e-commerce sales performance and customer purchasing trends across various product categories.
​Data Processing: Simulated and aggregated a retail dataset using Pandas, tracking monthly sales volumes, order frequencies, and total revenue.
​Insights & Visualization: Designed clean data visualizations using Matplotlib and Seaborn to highlight seasonal sales trends and top-performing categories.
​Tech Stack: Python, Pandas, NumPy, Matplotlib, Seaborn.
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