What Siddhi demonstrated

Built and verified an end-to-end modernization of a legacy fleet-service repo: fixed the wear calculation, handled missing service readings safely, corrected the nightly report, and swept helper modules to catch a silent mileage-conversion bug. Also added the missing regression test, kept the business rules unchanged, and wrote a data-driven breakdown-risk analysis that follows the fleet history rather than the misleading mileage assumption.

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