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What Priyansh demonstrated
Built a complete legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash case, and corrected a hidden mileage-conversion bug in the helpers. Also delivered a data-driven breakdown-risk analysis that prioritizes km_since_service, daily usage, and load factor over misleading odometer/age assumptions, with verification documented in NOTES.md.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Review
- Acceptance-Driven Verification
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