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End-to-End E-Commerce Analytics Platform

Developed an end-to-end e-commerce analytics platform by integrating multi-source data, building interactive dashboards, and generating insights to optimize sales, customer experience, and business decisions.

Timeline
Feb 2024 – Apr 2024
Role
Undergraduate Researcher
Stack
python, c, c++, matlab
Contributions
Led end-to-end development of the analytics platform, including data integration, processing,business optimization.

Approach

  • Data integration: Combined multi-source e-commerce data into a unified dataset.
  • Data processing: Cleaned and transformed data for accurate analysis
  • Analytics: Analyzed sales, customer behavior, and product performance.
  • Visualization: Built interactive dashboards to deliver actionable insights.

Highlights

  • Unified multi-source data into a scalable platform.
  • Delivered insights on sales and customer behavior.
  • Built interactive and user-friendly dashboard.