Kisaki Watanabe

Kisaki Watanabe is a seasoned data scientist with extensive experience in fraud detection, machine learning, and AI applications in financial services. Currently serving as a Senior Data Scientist in Risk at Blackhawk Network, Kisaki focuses on enhancing fraud detection through advanced modeling techniques and KPI monitoring. Previously, Kisaki founded CV Scanner, leveraging AI technology for product identification, and delivered impactful machine learning models at Guideline to boost marketing campaign conversions. Experience at SumUp involved detecting online payment fraud through data analysis and model development, while prior roles at Columbia University, KPMG, and Aisin World Corp. underscored skills in risk management and analytics across various industries. Educational qualifications include a Master’s degree from the University of Michigan and a Certificate in Data Science from NYC Data Science Academy, complemented by participation in innovative programs like the AWS Build Accelerator and OnDeck Founders Fellowship.