Ken Kolosh

Manager, Statistics Department @ National Safety Council

About Ken Kolosh

Ken Kolosh is the Manager of the Statistics Department at the National Safety Council in Itasca, Illinois, where he has worked since 2008. He holds a Master's degree in Psychology from Western Kentucky University and has extensive experience in research and consulting roles.

Work at National Safety Council

Ken Kolosh has been employed at the National Safety Council since 2008, where he serves as the Manager of the Statistics Department. In this role, he oversees statistical analysis and research initiatives aimed at improving safety standards and practices. Prior to his current position, he worked as a Research Consultant at the same organization from 1993 to 2001, contributing to various safety-related research projects.

Education and Expertise

Ken Kolosh earned a Bachelor’s degree from DePauw University, where he studied from 1985 to 1989. He furthered his education at Western Kentucky University, obtaining a Master of Arts in Psychology between 1989 and 1991. His academic background supports his expertise in statistical analysis and research methodologies, which he applies in his current role at the National Safety Council.

Previous Employment History

Before joining the National Safety Council, Ken Kolosh held several consulting positions. He worked as a Managing Consultant at Skillsoft from 2001 to 2007 and at Thomson Learning during the same period. He also served as an Advanced Strategy and Systems Consultant at Element K for eight months in 2007-2008. His diverse experience in consulting roles has contributed to his professional development in statistics and safety research.

Professional Contributions

Throughout his career, Ken Kolosh has contributed to various projects focused on safety and statistical analysis. His work at the National Safety Council involves leading initiatives that utilize statistical data to inform safety practices. His previous roles in consulting have also provided him with a broad perspective on the application of statistics in different organizational contexts.

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