Ivan-R-Septian/CAV-AutoInsurance-CLV-Prediction-and-Optimization
View on GitHub ↗Related repositories →Developed a Random Forest model to predict customer lifetime value, achieving 3.3% MAPE and 93% Adj R2. This led to targeted marketing strategies, reduced manual analysis costs by $6,322, and saved $47,875 in marketing expenses through optimized customer segmentation in CAV Autoinsurance.
active 2024-09-13 → 2024-11-15 (UTC)
Activity over time
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Line chart, 64 days from 2024-09-13 to 2024-11-15. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Ivan-R-Septian | 5 | 5 | 0 | 0 |
Recent activity
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No issue or PR events — this repo's activity is pushes only.
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.