Chief Data & Analytics Officer
CurrentLed creation and establishment of the Data, BI, Analytics and Machine Learning division focusing on applied intelligence and with direct report to the CEO. Managed 10+ data scientists, mathematicians, data architects and developers both locally (US) and across Latam.• Designed IT and ML Architecture for a novel real-time anti-fraud digital transactions solution and successfully implemented it on AWS and Microsoft Azure. Components include mission critical graph database (Neo4j) and Machine Learning clusters that manage peaks of +500 transactions per second real-time, +3.5 billion transactions per year for +15 million customers and prevents +50 million USD in losses per year. The solution was awarded the Graphie award in 2021 (Pioneer - AI for fraud detection in banking)• Enhanced the product offering of anti-fraud solution by conceptualizing, designing and implementing components for: rule optimization via prescriptive analytics, fast rule execution via a new declarative rule engine, and for fraud investigation support via graph link analysis and visualization• Led capacity planning / cost optimization initiatives on the cloud generating a combined +100% improvement in throughput, +30% reduction in response times and +10% cost savings for anti-fraud and BI customer-facing products and services• Designed and implemented a holistic framework to manage +30 Machine Learning Models across the whole ML life cycle for high availability applications• Led the migration of BI platform (Qlik) from on-prem data centers to Microsoft Azure