Summary
Anthony Hayes is an entry-level data analytics candidate with a practical blend of hands-on retail operations and technical analytics training, currently studying Management Information Systems at Rowan University. He turns messy operational data into actionable insight using Tableau, SAS, SQL, and R, and has built regression and decision-tree models to identify key drivers of performance. His working background in high-volume food service taught him to communicate under pressure, manage competing priorities, and train teammates—skills he applies when presenting analytics to support real decisions. Anthony’s academic journey from a 2.3 to a 3.0 GPA demonstrates disciplined, measurable improvement and a capacity to persist through ambiguity. He’s seeking internships or entry-level roles where he can pair his frontline operational experience with analytic methods to improve business outcomes. An understated strength is his focus on outcomes over vanity metrics, ensuring analyses lead to tangible action.
17 years of coding experience
6 years of employment as a software developer
Management Information Systems, Management Information Systems at Rowan University