Connor has experience using data analytics to support the marketing and supply chain organizations of several Fortune 500 companies. Prior to joining Splash, he worked at Worldpay, where he developed predictive machine learning models in Python used for lead prioritization and optimizing speed to revenue. He also established innovative reporting in PowerBI and Tableau to deliver analysis on the performance of marketing initiatives. He specializes in translating raw data into actionable insights and identifying opportunities for growth.
Connor holds a Bachelor of Science Degree in Marketing from the University of Colorado with a Certificate in Data Analytics from the University of Denver. He lives in Denver, Colorado and loves playing soccer and enjoying the outdoors with his fiancé and their two dogs.
Current role