Michael Mc Kinnon
About Michael Mc Kinnon
Michael McKinnon is a Data Architect with a background in mechanical engineering and extensive experience in data structuring and analysis. He has worked for various companies, including Sappi, QuEST Global, and Thermo Fisher Scientific, and currently serves at Braincube, where he develops virtual twins of manufacturing processes.
Current Role at Braincube
Michael Mc Kinnon serves as a Data Architect at Braincube (IP Leanware) since 2017. In this role, he focuses on developing virtual twins of manufacturing processes, which enhances operational efficiency. He also supports customer data analysis to improve decision-making processes, leveraging his expertise in data structuring and optimization.
Previous Experience in Data and Engineering
Prior to his current position, Michael Mc Kinnon worked at QuEST Global as a Process Engineer and Database Application Developer from 2016 to 2017. He also held roles at Sappi as an intern from 2013 to 2015, where he participated in the Printer of the Year Contest and the Ideas That Matter initiative. His earlier experience includes a Mechanical Engineering Co-op at Thermo Fisher Scientific in 2009 and a Quality Assurance Co-op at Fairchild Semiconductor in 2011.
Education and Expertise
Michael Mc Kinnon earned a Bachelor's degree in Mechanical Engineering from the University of Maine. His educational background provides a strong foundation for his current work in data architecture, where he specializes in connecting and structuring data to optimize its analytical value for clients.
Professional Skills and Specializations
Michael Mc Kinnon specializes in data architecture, focusing on enhancing the analytical value of data for clients. His expertise includes developing virtual twins of manufacturing processes and supporting customer data analysis. These skills contribute to improved operational efficiency and informed decision-making in various industrial applications.