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In this presentation, we’ll explore how machine learning models are transforming decision-making in the BNPL (Buy Now, Pay Later) landscape. Focusing on credit scoring, we’ll discuss the unique challenges of this audience—such as lack of credit history, short-term behavior, and high volatility—and how predictive techniques can deliver fast, scalable, and accurate responses.
The talk will cover everything from feature engineering to performance evaluation in dynamic environments, while also addressing ethical considerations and financial inclusion. By the end, participants will gain a clear understanding of how data and algorithms can drive smarter, safer decisions in instant credit.

Education & Technology
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Women in Technology

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