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What Saravanapriya demonstrated
Built a complete modernization and bug-fix pass for a legacy fleet-maintenance service: corrected wear calculation and missing-reading handling, fixed the nightly report’s average and crash path, found and repaired a hidden mileage-conversion bug in shared helpers, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that follows the fleet history rather than the misleading mileage assumption, with verification documented in NOTES.md.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
- Acceptance-Driven Verification
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