Malik Hussnain completed Energy and Renewable: Machine Learning for the Power Grid

Built an end-to-end turbine yield predictor using leakage-free sensor inputs, a LinearRegression baseline, and a tuned RandomForest model. Validated on a genuine time-based holdout and reported honest held-out MAE, RMSE, and R2, with a model card that explains intended use, exclusions, limitations, and monitoring in business-friendly language.

• Leakage-Free Feature Selection
• Time-Based Holdout Evaluation
• Baseline-vs-Ensemble Comparison
• Plain-Language Model Explanation