Summary
Carleton Smith is a data science leader with a decade of experience applying machine learning and analytics to complex operational problems, currently leading AO Data Insights and Analytics at United Airlines. He advances airline operations through data-driven decisioning, having progressed from senior analyst roles to senior manager while delivering insights on turn processes and employee tool adoption. Carleton blends hands-on technical skills in Python, SQL and MATLAB with classroom rigor as a course leader for applied machine learning and longtime instructor at General Assembly. Based in Chicago, he pairs a Master’s in Predictive Analytics with business grounding from a BS in Entrepreneurship, enabling him to translate models into measurable operational impact. An educator at heart, he continues to mentor practitioners and students while driving analytics strategy in a high-stakes, real-time environment.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Business Management, Entrepreneurship, Bachelor of Science (BS), Business Management, Entrepreneurship at Indiana University Bloomington
Master's Degree, Predictive Analytics, Computational Methods and Visual Informatics, Master's Degree, Predictive Analytics, Computational Methods and Visual Informatics at DePaul University
Northwestern High School