Ken Koehler
About Ken Koehler
Ken Koehler is a Lead Data Science Engineer at Oriental Trading Company, where he has worked since 2019. He holds a B.S. in Mathematics from Colorado State University and has extensive experience in data science and analytics across various companies.
Current Role at Oriental Trading Company
Ken Koehler serves as the Lead Data Science Engineer at Oriental Trading Company, a subsidiary of Berkshire Hathaway, since 2019. In this role, he focuses on leveraging data science techniques to enhance business operations and decision-making processes. His responsibilities include designing data models and implementing data-driven strategies to optimize marketing efforts and customer engagement.
Previous Experience in Data Science and Analytics
Prior to his current position, Ken Koehler held various roles at Oriental Trading Company, including Senior Business Intelligence Developer and Sr. Database Analyst. His tenure at the company spanned from 2010 to 2019. He also worked at McKesson as a SAS Programmer and at VALEN TECHNOLOGY, INC. as a Senior Modeler, gaining extensive experience in data analysis and modeling.
Educational Background in Mathematics and Technology
Ken Koehler earned a Bachelor of Science degree in Mathematics from Colorado State University. He furthered his education at Regis University, where he completed coursework towards a Master's degree in Computer/Information Technology Administration and Management. His educational background provides a strong foundation for his work in data science and analytics.
Data Modeling and Framework Development
Ken Koehler has designed and built a data model for customer lifetime value, which allows the marketing team to effectively segment and target customers based on behavior and preferences. He also developed a data quality framework that improved the accuracy and completeness of the data warehouse, ensuring reliable data for decision-making.
Cloud Migration and Data Infrastructure Enhancement
Ken supported the migration of the data warehouse from on-premise systems to Snowflake Cloud. This transition enhanced the scalability, security, and efficiency of the data infrastructure, aligning with modern data management practices and improving overall data accessibility for the organization.