Kaan Gunaydin
About Kaan Gunaydin
Kaan Gunaydin serves as the Head of Data Science & ML for Small and Medium Businesses at Enova International, a position he has held since 2022. He has extensive experience in data science and machine learning, having worked in various roles within Enova International and other financial institutions.
Current Role at Enova International
Kaan Gunaydin serves as the Head of Data Science & ML - SMB at Enova International, a position he has held since 2022. Based in Chicago, Illinois, he leads initiatives focused on data science and machine learning for small and medium-sized businesses. His role involves overseeing data-driven strategies and implementing machine learning models to enhance business performance.
Previous Experience in Data Science
Prior to his current role, Kaan Gunaydin worked at Enova International for seven years as the Data Science Manager for Small Business Lending from 2014 to 2021. He also gained experience as an ML Engineer at Faves for one year, from 2021 to 2022. His career began at Enova as a Business Analytics Intern in 2013, where he contributed to analytics projects for three months.
Educational Background
Kaan Gunaydin holds a Master of Science in Computer Science from the University of Chicago, which he completed from 2017 to 2019. He also earned a Master of Business Administration from The University of Chicago Booth School of Business between 2018 and 2020. Additionally, he studied at the London School of Economics and Political Science in 2012 and completed his Bachelor of Science in Industrial Engineering and Economics at Northwestern University from 2010 to 2014.
Internship Experience
Kaan Gunaydin has completed several internships that contributed to his professional development. He worked as a Summer Intern at Yapi Kredi Asset Management in Istanbul, Turkey, in 2011, and as a Summer Analyst at UniCredit Markets & Investment Banking in London, United Kingdom, in 2012. These experiences provided him with foundational skills in finance and analytics.