Data analyst at UA, specializing in data modeling, automation, and analytics integration. With experience in data engineering and business intelligence, he develops efficient workflows that bridge data systems and enhance reporting accuracy. Ryan is passionate about leveraging emerging technologies to make complex data more accessible and actionable for decision-makers across the university. His recent work focuses on applying LLMs and GenAI tools to improve productivity and insight generation.