A Loan Defaulter Prediction Model - Nandita Sharma | PyData Hamburg May 2021 (1/2)

In this May Meetup we have two inspiring talks on Machine Learning.

This edition was sponsored by IBM: IBM funds open source development through NumFocus while Tim Bonnemann provides a brief introduction to the IBM data science community.

Part 2: AutoML with Paco Nathan:    • AutoML - Paco Nathan | PyData Hamburg...  

Enjoy the talks!
Your PyData Hamburg Crew

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(Talk 1) Nandita Sharma: A Loan Defaulter Prediction Model

In this talk, Nandita will explain how machine learning techniques play a prominent role in detecting the likelihood of defaulting in advance - by developing an understanding of customers' behavioral patterns before granting a loan. Join this talk to understand how AI helps banks solve and understand their liquidity risk and financial abilities while gaining and retaining current customers.

About Nandita: Nandita is Data Scientist and Data Analyst, passionate about AI, neural networks & deep learning. She works at the National College of Ireland as an Assistance Teacher, where she teaches and mentors 80+ students for machine learning projects. In her free time, she loves to learn new things, dancing, painting & baking.

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