Every admission office sits on a goldmine of data—zip codes, feeder schools, event attendance, and conversion timelines—but transforming that data into actionable strategy often feels like a daunting task. In this hands-on session, we will demystify how to use Generative AI tools (like ChatGPT or Gemini) as your personal data scientist. Using a real-world, anonymized K-12 admissions dataset, we will walk through the entire lifecycle of an AI-driven analysis. We will demonstrate how to go beyond basic enrollment numbers to identify high-performing geographic pockets, the ROI of specific campus events, and the "stealth" applicant trends that often go unnoticed. Participants will learn how to turn a standard CSV export into a strategic roadmap for the next recruitment cycle. Learning Objectives / Takeaways: The AI Workflow: Master a three-step framework for data analysis: Prepare, Prompt, and Pivot. Strategic KPI Identification: Learn which data points (like "Days to Convert" or "Feeder Efficiency") offer the highest strategic value when analyzed through AI. Pattern Recognition: Identify how to use AI to find correlations between event attendance and yield that traditional sorting and filtering might miss. The Human-in-the-Loop Framework: Understand how to critically audit AI-generated results to ensure 100% accuracy before presenting to a Board or Head of School.