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What Aditi demonstrated
Built and verified an end-to-end modernization of a legacy fleet-service repo: fixed the wear calculation, handled missing readings safely, corrected the nightly report’s average and crash path, repaired the quiet mileage-conversion helper bug, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that uses the actual predictive signals in the fleet history rather than the misleading mileage/age assumption.
- Leakage-Free Bug Diagnosis
- Directed AI Code Review
- Data-Driven Feature Selection
- Acceptance-Driven Verification
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