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What Aishwarya demonstrated
Built and verified a full legacy-code modernization for KM-Waechter: fixed the service-wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash path, corrected a hidden mileage-conversion helper bug, and added the missing regression test. Also produced a data-driven breakdown-risk analysis that prioritizes km-since-service, load, and daily usage while explicitly rejecting the misleading mileage/age assumption.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Prompting
- Acceptance-Driven Verification
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