Khuyen Tran
Khuyen Tran transforms how data scientists learn and work. She is the author of Production-Ready Data Science: From Prototyping to Production with Python, a comprehensive guide that helps data professionals bridge the gap between experimentation and deployment.
As founder of CodeCut, she publishes daily Python tips in her newsletter that reach over 10,000 views per month and has built a community of 110,000 LinkedIn followers.
Previously an MLOps Engineer and Senior Data Engineer at Accenture, she built enterprise data solutions for clients worldwide.
Session
Learn how to build fast and reliable retail demand forecasts using StatsForecast, an open-source Python library for scalable statistical forecasting. This session will cover techniques including rolling-origin cross-validation and conformal prediction, with practical retail demand examples.