Ryan Ju
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.
Sessions in which Ryan Ju participates
Wednesday 25 February, 2026
In this session, I’ll share how I used local large language models (Llamma, Qwen, and GPT) to automatically summarize prospect interaction records. The goal was to keep data secure while making it easier to understand and analyze. I’ll show how the models were tested and refined using both AI and human feedback, and how the final process was automated with Python and Windows Task Scheduler. The results feed directly into Power BI dashboards, turning complex text data into clear, actionable in...