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What Imad demonstrated

Built and verified an end-to-end modernization of a legacy fleet-maintenance service: corrected the wear calculation, handled missing service readings safely, fixed the nightly report’s average and crash path, and swept helper code to catch a silent mileage-conversion bug. Also added the missing regression test, preserved the business rules, and produced a data-driven breakdown-risk analysis grounded in the actual fleet history rather than assumptions.

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

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