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What Pranav demonstrated

Built and verified a full legacy-code modernization for a vehicle service system: fixed the wear calculation so nearly-due cars are flagged, handled missing service readings safely, corrected the nightly report’s average and crash path, and found the quiet km-to-miles helper bug that no test covered. Also added the missing regression test, kept the service rules unchanged, and wrote a breakdown-risk analysis grounded in the actual fleet data.

  • Leakage-Free Feature Engineering
  • Honest Model Evaluation
  • Directed AI Agent Review
  • Acceptance-Driven Verification

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