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What Dharm demonstrated

Built an end-to-end gas-turbine TEY predictor using leakage-free sensor inputs and a genuine time-based holdout. Compared a LinearRegression baseline against a tuned RandomForest, evaluated on held-out MAE/RMSE/R², and documented the model’s intended use, limits, and monitoring plan in a concise model card.

  • Leakage-Free Feature Selection
  • Time-Based Model Validation
  • Honest Held-Out Evaluation
  • Plain-Language Model Communication

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