Oil Refinery Labelbox
Applied strict annotation guidelines to identify and correct data anomalies, ensuring 95%+ precision and reducing model training errors. Created targeted training datasets and rubrics designed to improve predictive analytics for equipment performance and production efficiency in the oil refinery.