Paul Kellar
About Paul Kellar
Paul Kellar is a Decision Scientist with over six years of experience in data analytics, specializing in SQL, statistical analysis, and machine learning. He has worked in various industries, including finance, sports, and retail, and currently holds a position at Ibotta, Inc.
Work at Ibotta
Paul Kellar has been employed at Ibotta, Inc. as a Decision Scientist since 2023. His role involves utilizing data analytics to inform business decisions. Ibotta is known for its innovative approach to cashback and rewards, and Kellar contributes to this mission through his analytical expertise.
Education and Expertise
Paul Kellar holds a Master's degree in Data Science with a specialty in AI/ML from Northwestern University, which he completed from 2021 to 2023. He also earned a Bachelor of Science in Business Analytics and Information Systems, along with a Bachelor of Business Administration from the University of Cincinnati, graduating in 2020. His educational background equips him with strong analytical skills, particularly in statistical analysis and machine learning modeling using Python and R.
Background
Kellar's professional background spans various industries, including finance, sports, and retail. He has accumulated over six years of experience in data analytics, demonstrating proficiency in SQL for data manipulation and expertise in tools such as Alteryx for data preparation and process automation. His diverse work experience includes roles at JPMorgan Chase & Co., Cincinnati Reds, and Nielsen Catalina Solutions.
Previous Work Experience
Prior to his current position at Ibotta, Kellar worked at several organizations in various capacities. He served as a Data Analyst and Product Manager at JPMorgan Chase & Co. from 2020 to 2022. Before that, he was a Data Analyst at Cincinnati Reds for seven months in 2017. He also held roles at Upstart, FC Cincinnati, and eRecruitFit, showcasing a breadth of experience in analytics and consulting.
Technical Skills
Paul Kellar possesses a strong technical skill set in data analytics. He has experience in statistical analysis and machine learning modeling, utilizing programming languages such as Python and R. Additionally, he is skilled in data visualization tools including Tableau, Looker, and Mode, which he employs to present data insights effectively.