Ricardo Pantin

Ricardo Pantin

Process Improvement Engineer Ii @ Milliken & Company

About Ricardo Pantin

Ricardo Pantin is a Process Improvement Engineer II at Milliken & Company, where he applies statistical methods and SAP software to enhance manufacturing processes. He has a background in mechanical engineering and experience in team management and process optimization.

Current Role at Milliken & Company

Ricardo Pantin holds the position of Process Improvement Engineer II at Milliken & Company, where he has been employed since 2022. In this role, he focuses on enhancing manufacturing processes and improving product quality. He has successfully implemented a 5 Why Analysis to refine the style 4334 fabric recipe, which resulted in a 30% reduction in poor quality. Additionally, he manages a team of 12 associates, emphasizing their professional development and job satisfaction, which led to a 15% improvement in turnover.

Previous Experience at Brodie International

Prior to his current role, Ricardo Pantin worked as a Mechanical Design Engineer Intern at Brodie International from 2020 to 2021. During his one-year tenure in Statesboro, Georgia, he gained practical experience in mechanical design, contributing to various projects and enhancing his engineering skills.

Research Experience at Georgia Southern University

Ricardo Pantin served as an Undergraduate Research Assistant at Georgia Southern University from 2021 to 2022 for a duration of three months. This role allowed him to engage in research activities, further developing his analytical and technical skills in the field of mechanical engineering.

Education in Mechanical Engineering

Ricardo Pantin earned his Engineer's degree in Mechanical Engineering from Georgia Southern University, completing his studies from 2018 to 2022. His education provided him with a solid foundation in engineering principles, preparing him for his subsequent roles in the industry.

Skills in Data Analysis and Process Improvement

Ricardo Pantin utilizes SAP Software for collecting and analyzing manufacturing data. He applies statistical methods to enhance processes, demonstrating his capability in data-driven decision-making and process improvement within manufacturing environments.

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