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What Poornima demonstrated

Built a compact rolling-bearing fault detector end to end: engineered time-domain features, trained a shallow decision tree on training bearings only, and evaluated it on a held-out set with catch-rate and false-alarm rate. The candidate also wrote a maintenance memo that justified an alarm threshold using explicit cost trade-offs and translated the result into plain language for non-experts.

  • Leakage-Aware Model Training
  • Held-Out Evaluation
  • Cost-Based Operational Decision-Making

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