Data Labeling & Model Training – AI Energy Optimization Project
Classification
Labeled and structured residential energy usage data for supervised machine learning model development. Engineered data features from behavioral patterns to enhance classification and prediction performance. Evaluated classification labels and iteratively improved annotation quality. • Created labeling guidelines for annotators.
• Structured datasets for improved model input.
• Validated data splits and labeling consistency.
• Contributed to high-accuracy annotation and dataset preparation.
Labeled and structured residential energy usage data for supervised machine learning model development. Engineered data features from behavioral patterns to enhance classification and prediction performance. Evaluated classification labels and iteratively improved annotation quality. • Created labeling guidelines for annotators. • Structured datasets for improved model input. • Validated data splits and labeling consistency. • Contributed to high-accuracy annotation and dataset preparation.
2024 - 2025