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. Sameer Sharma
Director, Data Science - Bank Of America
As a Director of Data Science at Bank of America, he leads a global team of seasoned data scientists on ML related model development activities.Prior to this, he was an Artificial Intelligence Specialist at Creative Business Decisions where he worked to deliver production ready, scalable and interpretable predictive models. He also is a mentor at Great Learning.
Data Science on Cloud
The Data Science on Cloud Program equips you with the skills to design and implement a Data Science solution on the cloud using the cloud platform of your choice -
AWS SageMaker/AzureML.
