What Avinash demonstrated

Built an end-to-end TEY predictor for gas-turbine data using the eight legitimate sensor inputs and explicitly excluding downstream CO/NOx emissions to avoid leakage. Compared a LinearRegression baseline with a RandomForest on a time-based held-out split, reported MAE/RMSE/R² on unseen data, and documented the model’s intended use, limits, and monitoring plan in a concise model card.

• Leakage-Free Feature Selection
• Honest Held-Out Evaluation
• Model Comparison Against Baseline
• Plain-Language Model Communication