Shaoyang (Antonio) Luo
About Shaoyang (Antonio) Luo
Shaoyang (Antonio) Luo is a Data Scientist currently working at Enova International, where he has been employed since 2021. He has a diverse background in data analysis and machine learning, with previous roles at UL, the University of Illinois, and Anheuser-Busch InBev.
Current Role at Enova International
Shaoyang (Antonio) Luo currently serves as a Data Scientist at Enova International, a position he has held since 2021. In this role, he utilizes his expertise in data analysis and machine learning to drive insights and support business decisions. His work focuses on developing models and frameworks that enhance operational efficiency and improve decision-making processes within the company.
Previous Experience at Enova International
Prior to his current role, Luo worked at Enova International in various capacities, including Data Analyst I and II from 2018 to 2021. During this time, he contributed to data-driven projects that informed strategic business initiatives. His experience at Enova has equipped him with a deep understanding of the financial technology sector and the analytical tools necessary for success.
Educational Background
Luo holds a Master’s Degree in Statistics and Analytics from the University of Illinois at Urbana-Champaign, which he completed from 2015 to 2017. He also earned a Bachelor of Science in Actuarial Science and Mathematics from the same institution, graduating in 2015. Additionally, he has an MBA from The University of Chicago Booth School of Business, further enhancing his analytical and business acumen.
Innovative Contributions
Luo has made significant contributions to his field, including the invention of a scalable version control framework that improved code readability and minimized manual errors. He also developed a Life Time Value (LTV) model to guide business decisions regarding operational changes. His initiatives, such as piloting the Open Decision Infrastructure (ODI), have streamlined model iteration procedures and improved training materials for analytics teams.
Internship and Early Career Experience
Luo began his career with various internships that provided foundational experience in data analysis and business operations. He interned as a Data Scientist at Anheuser-Busch InBev from 2015 to 2017 and worked as an Analyst Intern at optionMONSTER in 2013. His early roles included working as an Account Manager Intern at Shanghai Pudong Development Bank, where he gained insights into financial services.