BNPL and Machine Learning: Decisions That Scale
A talk by Kelly Marques
Registered Attendees (31)
On October 10, 2025, R-Ladies Rome hosted BNPL and Machine Learning: Decisions That Scale, a session led by Kelly Marques, data scientist and researcher in financial technology and applied machine learning.
📊 Talk Overview
In this engaging presentation, Kelly guided us through how machine learning models are transforming decision-making in the Buy Now, Pay Later (BNPL) landscape. She demonstrated live Python code examples, showing how predictive models can provide fast, scalable, and reliable assessments of user creditworthiness — even when traditional credit data is limited.
Beyond the technical side, the talk also explored the ethical and inclusive dimensions of algorithmic credit scoring, emphasizing transparency, fairness, and access in financial decision-making.
🎥 Recording
🎬 Watch the Video Now
This talk is packed with insights for data scientists, fintech professionals, and anyone interested in applied ML for responsible innovation.
🧠 What You’ll Learn
- How to build and evaluate ML models for BNPL credit scoring
- Ways to handle high-volatility and short-term behavioral data
- The role of ethics, inclusion, and fairness in financial ML models
- Practical Python code demonstrations for end-to-end modeling
📦 Resources & Materials
Talk material:
R-Ladies Rome Intro Presentation: https://tinyurl.com/bdht95ss
Stay updated via Meetup: https://www.meetup.com/rladies-rome
🔊 About the Speaker
Kelly Marques is a data scientist from São Paulo (Brazil) specializing in machine learning for finance. With a strong background in predictive analytics and model ethics, she focuses on developing scalable, transparent, and human-centered AI systems for real-world applications.
Keep learning and exploring — subscribe to our YouTube channel and revisit past events on rladiesrome.org!