1. build_model_data: Replaced row-by-row iteration with locations[columns].to_dict('records') - a single vectorized pandas operation
2. build_dynamic_model_adjustment: Replaced row-by-row iteration with direct column access using .values

Both changes maintain the same functionality but are significantly more efficient since they avoid Python-level loops over DataFrame rows.