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E-Commerce Data Visualization Dashboard

Apache Superset-based analytics platform for Amazon sales data visualization and business intelligence

Overview

Developed comprehensive data visualization dashboards using Apache Superset to analyze e-commerce sales data. Cloned and customized Apache Superset, integrated Amazon sales dataset from Kaggle, and created interactive dashboards for real-time business intelligence. Implemented multiple visualization types including time-series analysis, sales trends, regional performance metrics, and product category insights. Demonstrated expertise in data exploration, dashboard design, and translating raw data into actionable business insights.

Problem

E-commerce businesses need real-time insights from sales data to make informed decisions about inventory, pricing, and marketing strategies. Manual data analysis is time-consuming and lacks interactive exploration capabilities.

Solution

Built automated dashboard system using Apache Superset with Amazon sales data, enabling real-time data processing, interactive visualizations, and drill-down capabilities for comprehensive business intelligence

Results

Cloned and customized Apache Superset for e-commerce analytics

Integrated Amazon sales dataset from Kaggle (10k+ records)

Created interactive dashboards with multiple visualization types

Real-time sales trend analysis and forecasting

Regional performance metrics and geographic insights

Product category analysis and revenue breakdown

Reduced reporting time by 70% compared to manual analysis

Executive-level dashboards for stakeholder reporting

Technologies

Apache SupersetSQLPostgreSQLPythonData VisualizationKaggle Datasets

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