What Rohit demonstrated

Built a turbine TEY predictor end to end using leakage-free sensor inputs, a LinearRegression baseline, and a tuned RandomForest model. Evaluated it on a later held-out period with MAE, RMSE, and R2, and documented the model’s intended use, limitations, and monitoring plan in a concise model card.

• Leakage-Free Feature Selection
• Time-Based Holdout Evaluation
• Baseline-vs-Ensemble Comparison
• Model Monitoring Awareness