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What Faiaz demonstrated
Built an end-to-end legacy-code modernization for a fleet service checker: fixed the wear calculation, handled missing readings safely, repaired the nightly report, corrected a hidden mileage-conversion bug, and added the missing regression test. Also produced a data-driven breakdown-risk analysis that follows the fleet_history.csv signal rather than the misleading mileage assumption, and documented the review process in clear NOTES.md.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Prompting
- Acceptance-Driven Verification
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