Mark Barkanyi

Mark Barkanyi

Customer Quality Engineer / Customer Care @ Faurecia

About Mark Barkanyi

Mark Barkanyi is a Customer Quality Engineer at Faurecia, where he has worked since 2018. He has extensive experience in quality engineering and customer care within the automotive industry, having previously held positions at Plastic Omnium and Howe & Co.

Work at Faurecia

Mark Barkanyi has been employed at Faurecia since 2018, serving as a Customer Quality Engineer in the Customer Care department. His role involves ensuring high standards of quality in customer interactions and addressing any quality-related issues that may arise. Located in Lozorno, he has contributed to the company's commitment to customer satisfaction and quality assurance in the automotive sector.

Previous Experience in Quality Engineering

Before joining Faurecia, Mark Barkanyi worked at Plastic Omnium as a Senior Customer Quality Engineer from 2016 to 2018. His responsibilities included overseeing quality assurance processes and maintaining customer relationships in Bratislava, Slovak Republic. Prior to that, he served as a Senior Quality Engineer at Howe & Co from 2013 to 2016, where he represented quality interests and ensured compliance with industry standards.

Education and Expertise

Mark Barkanyi earned a Master's degree in Computer Aided Manufacturing Technologies from the Technical University in Košice, with a seat in Prešov. His academic background provides a strong foundation for his career in quality engineering. He possesses expertise in ISO/TS 16949, which is crucial for quality management systems in the automotive industry, and has strong skills in Kaizen, focusing on continuous improvement in manufacturing processes.

Involvement in Automotive Projects

Mark Barkanyi has been involved in customer care for high-profile automotive projects, notably the Porsche Cayenne and Porsche Coupe. His role in these projects emphasizes his capability in managing quality assurance and customer satisfaction in complex automotive environments, contributing to the success of these significant models.

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