David Swets
About David Swets
David Swets is a Lead Analyst at Pursuant, where he has worked since 2022. He holds dual Bachelor of Science degrees in Mathematics and Statistics, and Sport Management from The University of Texas at Austin, as well as a Master of Science in Business Analytics from the University of Tennessee.
Work at Pursuant
David Swets currently serves as the Lead Analyst at Pursuant, a position he has held since 2022. In this role, he utilizes his analytical skills to support various projects and initiatives within the organization. Prior to becoming Lead Analyst, he worked as a Data Analyst at Pursuant from 2019 to 2022, where he contributed to data-driven decision-making processes. His experience at Pursuant has allowed him to develop a deeper understanding of the analytics landscape within the organization.
Education and Expertise
David Swets holds a Bachelor of Science in Mathematics and Statistics, as well as a Bachelor of Science in Sport Management, both from The University of Texas at Austin, where he studied from 2013 to 2017. He further advanced his education by obtaining a Master of Science in Business Analytics from the Haslam College of Business at the University of Tennessee in 2018. His academic background equips him with a strong foundation in analytical methods and statistical modeling, complemented by a Certificate in Applied Statistical Modeling.
Professional Background
David Swets has a diverse professional background that includes various roles in analytics and consulting. He worked as a Data & AI Consultant at Microsoft for five months in 2019. His earlier experience includes positions as a Graduate Marketing Intern at Dell and a Business Development Analyst Intern at TCP Software. Additionally, he served as a Graduate Teaching Assistant at the Haslam College of Business, where he supported academic programs and assisted students in their learning.
Technical Skills and Software Proficiency
David Swets possesses a range of technical skills and software proficiency that enhance his analytical capabilities. He is experienced in programming languages and tools such as R, JMP, SQL, Python, Tableau, Microsoft Office, and Power BI. His expertise in these areas enables him to lead machine learning and statistical processing algorithms effectively, contributing to data analysis and visualization projects.
Achievements and Recognition
David Swets has received recognition for his academic and professional contributions. He served as project manager for a capstone project with a leading aerospace manufacturing company, demonstrating his leadership skills and ability to manage complex projects. Additionally, he won 1st place in the HanesBrands Case Competition at the Haslam College of Business, highlighting his competitive edge and innovative thinking in business analytics.