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💳🤖 BNPL and Machine Learning: Decisions That Scale In this session, we explored how machine learning models are transforming decision-making in the Buy Now, Pay Later (BNPL) landscape. The speaker walked us through practical examples and live Python code, explaining how predictive models can deliver fast, scalable, and reliable decisions in real-world financial applications. From feature engineering to performance evaluation, the talk covered the full lifecycle of building models that address key challenges like limited credit history, volatile user behavior, and data sparsity. Ethical and inclusion aspects in AI-driven credit scoring were also discussed, providing a well-rounded perspective on the role of ML in modern finance. 📚 Topics covered: • Building and evaluating ML models for BNPL credit scoring • Managing short-term and high-volatility data • Ethical and fairness considerations in credit decisioning • Practical implementation using Python Material of the talk: https://rladiesrome.org/talks/2025/me... 🎥 Whether you’re a data scientist, fintech researcher, or simply curious about applied machine learning in financial services, this talk offers valuable technical insights and live demonstrations. 👉 Follow @rladiesrome for more #talks, #workshops, and #tutorials in #R, #Python, and #datascience! 🌐 rladiesrome.org | 🔗 www.meetup.com/rladies-rome | 💜 / @rladiesrome