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What Rakesh demonstrated

Built and verified a full legacy-code modernization for a fleet service tool: fixed the wear calculation, handled missing service readings safely, repaired the nightly report, corrected a hidden mileage-conversion bug in shared helpers, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that ranks cars by service urgency using the factors the dataset actually supports.

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

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