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What Harsh demonstrated

Built and verified a complete legacy-code modernization for a fleet service tool: fixed the wear calculation, handled missing service readings safely, corrected the nightly report, repaired a hidden mileage-conversion bug, 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 rejecting odometer and age as misleading signals.

  • Leakage-Free Feature Engineering
  • Honest Model Evaluation
  • Directed AI Prompting
  • Verification-Driven Debugging

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