Summary
Max Candocia is a data scientist with 12 years of experience applying machine learning and statistical modeling in R and Python, focused on NLP services, classification engines, and production-ready analytics. He holds a Master's in Statistics (Analytics) from the University of Illinois and combines rigorous academic training with hands-on software development across startups and enterprise environments. His background spans fraud analytics at TransUnion, applied research and detector data analysis in academia, and building APIs that let users iteratively improve tagging models. Projects include reinforcement learning, image classification, Bayesian analysis for marketing, and end-to-end systems that bridge prototyping and deployment. Based in the Greater Chicago Area, he favors practical, data-driven solutions and has a demonstrated habit of publishing technical reflections and improvements on his personal site. He is seeking a full-time data scientist role where he can turn experimental models into measurable business impact.
12 years of coding experience
5 years of employment as a software developer
University of Illinois Urbana-Champaign
English, Spanish