Gerrit Wheeler

Gerrit Wheeler

Senior Data Scientist @ Wendy's

About Gerrit Wheeler

Gerrit Wheeler is a Senior Data Scientist at The Wendy's Company, specializing in data-driven solutions across sports media, healthcare technology, and e-commerce. He holds a Master's Degree in Business Intelligence & Data Analytics from Carnegie Mellon University and has extensive experience in various data science roles.

Work at Wendy's

Gerrit Wheeler has been employed at The Wendy's Company as a Senior Data Scientist since 2022. In this role, he focuses on developing data science solutions that support the company's operational and strategic objectives. His work aims to enhance decision-making processes through data-driven insights, contributing to the overall efficiency and effectiveness of the organization.

Previous Experience in Data Science

Before joining Wendy's, Gerrit Wheeler worked as a Data Science Engineer at Spreetail for five months in 2022. He also held the position of Chief Data Scientist at WISE Solutions, LLC from 2019 to 2022, where he was responsible for leading data initiatives in the Austin, Texas Metropolitan Area. Additionally, he served as a Data Analyst at FloSports from 2017 to 2019, gaining valuable experience in data analysis and application.

Education and Expertise

Gerrit Wheeler earned a Master’s Degree in Business Intelligence & Data Analytics from Carnegie Mellon University, completing his studies from 2019 to 2020. He also holds a Bachelor’s Degree in Mathematics with a focus on Statistics, Probability, and Data Analysis from The University of Texas at Austin, where he studied from 2011 to 2016. His educational background supports his specialization in leveraging data for business intelligence and predictive analytics.

Specialization in Data Science

Gerrit Wheeler specializes in utilizing data to enhance business intelligence and predictive analytics. His expertise lies in helping industries extract actionable insights from data, which aids in improving decision-making processes. He focuses on enhancing revenue and operational efficiency through data-driven strategies.

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