Open Banking data offers transaction-level granularity at scale. This is ideal for building models that power credit underwriting, customer segmentation, and market trend analysis. This session covers practical techniques for transforming raw transaction data into structured features using entity resolution, feature engineering, and aggregation pipelines.
talk-data.com
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Speaker
Mauricio Toro
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talks
Head of AI & Data Science
Cheddar Payments
Data science leader with 8 years of experience delivering ML products in fintech, healthcare, and agriculture. Built the AI product leading to a finalist nomination for Best Personal Finance App at the British Bank Awards (2025), drove a 25% profit increase with AI at the Bank Awards Best Newcomer (2024) and saved $150k in credit collection using ML at Latin America’s largest US-listed company (2023). Speaker at the Data Science Festival (May 2025) and two AI fintech conferences (2024); interviewed on AI by the FSTech Awards host (2025).
Bio from: Big Data LDN 2025
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