Ian Lee Rebollo

Ian Lee Rebollo

Process Engineer @ Onsemi

About Ian Lee Rebollo

Ian Lee Rebollo is a Process Engineer at ON Semiconductor, where he has worked since 2018. He specializes in process improvement methodologies and data analysis, contributing to various projects and enhancements in manufacturing processes.

Work at ON Semiconductor

Ian Lee Rebollo has been employed at ON Semiconductor since 2018, serving as a Process Engineer at the Luisita Industrial Park in San Miguel, Tarlac City, Philippines. His role involves conducting immediate analysis and investigations to resolve issues that lead to low yield. He has previously worked as a Cadet Engineer at the same company from 2017 to 2018, where he supported various Black and Green Belt projects as a focal engineer. His experience in both positions has contributed to his expertise in process improvement methodologies.

Education and Expertise

Ian Lee Rebollo obtained his Engineer’s Degree in Electrical, Electronics, and Communications Engineering from the University of the Cordilleras, completing his studies from 2012 to 2016. His educational background provides a strong foundation for his current role as a Process Engineer. He possesses knowledge in Design of Experiments (DoE) and Parameter Optimization, which are essential for enhancing processes within the semiconductor industry.

Background

Ian Lee Rebollo has a background in engineering with a focus on process improvement in the semiconductor sector. His initial experience as a Cadet Engineer at ON Semiconductor allowed him to support various projects and develop skills in statistical analysis and process optimization. He has continued to build on this foundation in his current role, where he applies his knowledge to improve manufacturing processes.

Technical Skills and Tools

In his role as a Process Engineer, Ian Lee Rebollo utilizes various tools and methodologies to enhance process efficiency. He is experienced in operating wire bonding machines, including the Shinakawa UTC and KNS ICONN series. His proficiency in statistical software such as JMP and Minitab allows him to perform data analysis effectively, contributing to process optimization efforts.

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