Devansh Panwar completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-aware turbine yield predictor end to end: framed TEY as a regression target, excluded downstream CO/NOx emissions, trained both a LinearRegression baseline and a RandomForest model, and validated on a genuine time-based holdout. The final report includes held-out MAE/RMSE/R², a residual read, and a practical monitoring plan for drift and retraining.

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