PyData Virginia 2025

MacKenzye Leroy

MacKenzye Leroy is a Lead Data Scientist within S&P Global's newly formed MI Enterprise Technology & Internal Productivity Team, where he focuses on developing enterprise AI solutions to transform business operations. Working closely with stakeholders across Sales, Commercial, Legal, and Marketing, he implements AI-powered productivity solutions.

MacKenzye combines his M.S. in Data Science from the University of Virginia with his physics background to solve complex business challenges. His expertise spans artificial intelligence, machine learning, data pipeline development, anomaly detection, statistical analysis, and full-stack data science implementation - from initial concept through production deployment.

When not working with data, MacKenzye can be found exploring mountain trails by foot, bike, or snowboard, reading, or cheering on his beloved New York Mets.


Sessions

04-18
10:55
35min
Evaluating LLMs at S&P Global: Building a Robust Evaluation Framework for GenAI Productivity Tools
MacKenzye Leroy

Discover how S&P Global built an enterprise-grade evaluation framework that transformed our GenAI deployment process. Through automated monitoring, expert validation, & continuous testing, we’ve streamlined the document integration step of our RAG tools, while ensuring our AI tools maintain consistent quality and reliability.

Auditorium 5