Khuyen Tran transforms how data scientists learn and work. Her core mission is closing the gap between prototyping and production: the place where most data science projects stall, and where her writing, tools, and teaching are aimed.

Khuyen has written over 180 articles as a top writer on Towards Data Science, covering Python tips, MLOps practices, and workflows that help data professionals write production-ready code. As the founder of CodeCut, she publishes daily Python tips in a newsletter that reaches over 10,000 views per month and has built a community of 110,000 LinkedIn followers. Her teaching is grounded in hands-on resources, from open-source tutorials to articles that turn abstract best practices into copy-paste-ready patterns.

Her advice comes from real industry experience. As an MLOps Engineer and Senior Data Engineer at Accenture, Khuyen built enterprise data solutions for clients around the world, seeing first-hand what separates experiments that work from systems that last. She brings that experience together in her book Production-Ready Data Science, a practical guide to shipping data science code and workflows that survive contact with production.