Connor McManigal

Background

About Connor McManigal

At UC San Diego, I studied Cognitive Science with a specialization in Machine Learning and Neural Computation while competing as a student-athlete. I explored a wide range of topics, including data science, statistics, machine learning, Python, Java, R, human-computer interaction, user experience, neurophysiology, linear algebra, and differential/vector calculus. This interdisciplinary foundation sparked my passion for data and drove me to further specialize. I went on to earn a Master of Data Science from UC Irvine, where I strengthened my technical skills and theoretical knowledge, deepened my expertise in machine learning, and collaborated with other passionate, data-driven students. My coursework covered probability, frequentist and Bayesian statistics, statistical modeling, machine learning, deep learning, artificial intelligence, algorithms, SQL, relational databases, and database management. With five years of programming experience and over four years in data science and machine learning, I have interned at Rockstar Games, CoreLogic, the American Medical Association, and the UCSD Basement Innovation Sprints Program. My 16 years in team sports have honed my communication and collaboration skills, making me adept at working within teams and translating technical concepts for non-technical audiences. I am seeking a full-time role where I can apply my expertise in data science, statistics, machine learning, and AI to tackle challenges from a data-driven perspective and drive meaningful impact.