Collin Mc Mahon
About Collin Mc Mahon
Collin Mc Mahon is an Associate Data Scientist at Kohl's with a background in data science, computer science, and neuroscience from The University of Texas at Austin.
Current Role at Kohl's
Collin Mc Mahon is an Associate Data Scientist at Kohl's. He began this role in 2024 and works remotely. As an Associate Data Scientist, he is likely involved in data-driven projects that support the company's various functions, such as customer analytics, demand forecasting, or operations optimization.
Previous Roles at Kohl's
Before his current position, Collin worked at Kohl's in multiple capacities. He served as a Data Science Intern from 2023 to 2024 in a remote capacity. Additionally, he had another internship with Kohl's in 2023 that lasted for two months in Milwaukee, Wisconsin. These roles would have provided him with practical experience in applying data science methodologies to real-world business problems.
Experience at Sanger Learning Center
Collin Mc Mahon worked as a Student Tutor at the Sanger Learning Center from 2020 to 2022 in Austin, Texas. During this period, he would have been responsible for helping other students understand complex topics in both Computer Science and Neuroscience, sharpening his own skills and knowledge in the process.
Master's Degree in Data Science
Collin pursued a Master of Science (MS) in Data Science at The University of Texas at Austin, graduating in 2023. This program, typically involving coursework in machine learning, statistical methods, and data visualization, would have equipped him with advanced analytical skills and specialized knowledge in data science methodologies.
Bachelor's Degree in Computer Science and Neuroscience
Collin earned a Bachelor of Science (BS) in Computer Science and Neuroscience from The University of Texas at Austin, completing his studies in 2022. This interdisciplinary education provided him with a solid foundation in computational methods as well as an understanding of neurological processes, which can be valuable in various fields of data science.