Advanced Data Engineering and Machine Learning Approaches for Accurate Yield Prediction in Semiconductor Manufacturing Processes.

Advanced Data Engineering and Machine Learning Approaches for Accurate Yield Prediction in Semiconductor Manufacturing Processes.

Brahma Reddy Katam

Lead Data Engineer.

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Abstract: In semiconductor manufacturing, yield prediction is a critical area where advancements in data engineering and machine learning can significantly impact production efficiency and cost-effectiveness. This paper explores the integration of data engineering pipelines with machine learning models to improve yield prediction. Using a scalable and efficient framework, we demonstrate how leveraging Databricks for data processing and model training enhances the prediction accuracy and provides actionable insights for process optimization.

Keywords: Data Engineering, Machine Learning, Semiconductor Manufacturing, Yield Prediction, Databricks