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What Neha demonstrated
Built and verified a full legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash path, corrected a hidden mileage-conversion bug in the helpers, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that identified km_since_service, avg_daily_km, and load_factor as the real predictors, while showing that total mileage and age were not.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
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