Mike Ngan
About Mike Ngan
Mike Ngan serves as a Data Science Senior Manager at Enova International, where he has worked since 2020. He has extensive experience in data science and analytics, having held various positions at Enova and previously at Atlantic Trading and NASA.
Work at Enova International
Mike Ngan has been with Enova International since 2014, holding various positions within the data science team. He currently serves as Data Science Senior Manager, a role he has held since 2020. In this capacity, he leads a team responsible for building and maintaining the company's AWS-based real-time decisioning infrastructure. Additionally, he manages a team focused on business forecasting and oversees the development of predictive analytics algorithms aimed at fraud detection. His extensive experience at Enova spans multiple roles, including Data Science Manager 2 and Data Science Manager.
Education and Expertise
Mike Ngan holds a Bachelor of Science degree in Aerospace Engineering and Computer Science from the University of Illinois at Urbana-Champaign. He furthered his education by obtaining a Master of Business Administration (MBA) from The University of Chicago Booth School of Business. His academic background provides him with a strong foundation in both technical and business aspects of data science, enabling him to effectively lead teams and manage complex projects.
Background
Prior to his tenure at Enova International, Mike Ngan worked at Atlantic Trading as a Quantitative Research Analyst from 2007 to 2014. His experience in quantitative analysis contributed to his skill set in data science. Additionally, he completed an internship at NASA Glenn Research Center in 2006, where he worked in the Controls and Dynamics Branch. This early experience in a high-tech environment helped shape his career trajectory in data analytics and decision-making.
Achievements
Throughout his career at Enova International, Mike Ngan has played a significant role in developing and implementing data-driven solutions. His leadership in building AWS-based infrastructures and developing predictive analytics algorithms has contributed to the company's ability to enhance its decision-making processes. His work in business forecasting and fraud detection demonstrates his commitment to leveraging data science for operational improvements.