Summary
Daniel Pradilla is a Senior Data Scientist based in Geneva with 11 years of experience building data-driven products and leading analytics teams. At WIPO he manages a 7-person team and has delivered 18 advanced analytics use cases, digital analytics platforms, reusable record-linkage services, and multiple lead-conversion models while maintaining strong privacy and metadata practices. He combines full-stack data science and software architecture skills—Python, Spark, AWS, graph databases, NLP and visualization—to turn messy enterprise data into operational insights that saved five-figure analyst hours annually. Comfortable as both a product manager and hands-on engineer, he runs cloud-native analytics projects end-to-end and recruits and mentors talent across teams. Notably, he has operationalized graph-based deduplication and interoperability services that improved data quality for customer-facing workflows.
11 years of coding experience
BS, BS at Universidad Simón Bolívar