This project focuses on customer segmentation for an e-commerce platform using data science techniques. It includes exploratory analysis, clustering customers based on behaviors and demographic characteristics, and developing an interactive Streamlit dashboard to visualize key metrics and compare segments. Ideal for optimizing business strategies.
active 2024-12-07 → 2025-01-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 44 days from 2024-12-07 to 2025-01-19. Pushes: 64 total, peak 6 in a day. Pull requests: 8 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.