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Zelestra
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Hackathon Zelestra
Engineered and optimized a regression pipeline, leveraging ensemble models (XGBoost, LightGBM, Random Forest) to predict solar panel efficiency from real-world energy data. Applied feature engineering and hyperparameter tuning techniques, significantly reducing RMSE and achieving 89.87% prediction accuracy.