Analyze wafer yield data and TEL etch plasma system signals to identify root causes, quantify process effects, and optimize manufacturing performance. Build datasets, models, dashboards, and monitoring tools using statistical and machine learning methods. Translate findings into recipe tuning, process-window, and monitoring recommendations while collaborating with process engineering and cross-functional manufacturing teams. Maintain documentation for data pipelines, model assumptions, evaluation methods, and analytical outcomes.