Chuck Sample

Chuck Sample

Vice President, Analytics & Data Science @ US Foods

About Chuck Sample

Chuck Sample serves as the Vice President of Analytics & Data Science at US Foods, where he leads a team of 100 professionals in various analytics disciplines. He has extensive experience in predictive analytics and has held previous leadership roles at Information Resources, Inc., True Value Company, and the Produce Marketing Association.

Current Role at US Foods

Chuck Sample serves as the Vice President of Analytics & Data Science at US Foods, a position he has held since 2011. In this role, he leads a team of strategists dedicated to implementing prescriptive analytics aimed at driving growth and profitability for the organization. His leadership encompasses a diverse group of 100 professionals specializing in data governance, self-service business intelligence, and data science. The focus of his team is to leverage advanced analytics to enhance decision-making processes within the company.

Previous Experience in Analytics and Marketing

Prior to his current position, Chuck Sample held several significant roles in analytics and marketing. He worked at Information Resources, Inc. as the Vice President of Customer Analytics from 2005 to 2008, where he was involved in industry data syndication and project management. He also served as the Director of Loyalty Marketing at True Value Company from 2008 to 2011. Earlier in his career, he was the Headquarters Services Manager at the Produce Marketing Association from 1990 to 1993 and an Account Supervisor at Leo Burnett from 1998 to 1999.

Education and Academic Background

Chuck Sample studied at the University of Delaware, where he earned a Bachelor of Arts in Applied Science (BAAS) with a focus on Political Science. His academic tenure spanned from 1986 to 1990. This educational background laid the foundation for his analytical and strategic approach in his professional career.

Expertise in Advanced Analytics

Chuck Sample possesses extensive expertise in various advanced analytics domains, including predictive analytics, deep learning, artificial intelligence (AI), natural language processing (NLP), machine learning (ML), and neural networks. His knowledge in these areas supports his current role in leading analytics initiatives that aim to optimize business performance and drive innovation within US Foods.

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