In this hands-on webinar, we will address the critical challenge of loan defaults faced by financial institutions and demonstrate how to accurately predict default risks using machine learning. Attendees will learn the steps involved in building an end-to-end solution, from collecting and preprocessing loan data to building and deploying a robust ML model on the cloud. We will also dive into model monitoring techniques to ensure model accuracy and detect anomalies. The session concludes with a Q&A to clarify concepts and address specific challenges
Agenda for the session
- Predict loan defaults using machine learning in financial institutions
- Learn data collection and preprocessing for an end-to-end ML solution
- Deploy and monitor a robust model on the cloud
- Q&A session to clarify concepts and address challenges
About Speakers
Mr. Vinicio De Sola
Senior AI Engineer - Newmark
- Specializes in Machine Learning Techniques and redeveloping models to include automation
- Studied Cryptocurrencies and Smart Beta Factors in the space
- Before switching to finance, was an entrepreneur in diverse areas like E-learning, E-commerce, and Engineering
- Mentor at Great Learning
