Summary
Jason Carlock is a data science practitioner with a decade of experience building production ML solutions, proficient in Python and its scientific ecosystem (scikit-learn, TensorFlow/PyTorch) and AWS services like SageMaker. He pairs rigorous academic training—a 4.0 M.S. in Data Science from Lewis University—with practical collaboration across business teams to translate analytical models into deployable systems. Based in the Greater Chicago Area, Jason brings a rare blend of quantitative depth and product-minded engineering, emphasizing reliable, scalable deployments. Notably, his background in performance arts (B.M. in Voice and Opera) suggests strong communication and presentation skills that help bridge technical work and stakeholder needs.
10 years of coding experience
Master of Science (M.S.), Data Science, 4.0/4.0 GPA, Master of Science (M.S.), Data Science, 4.0/4.0 GPA at Lewis University
Bachelor of Music (B.M.), Voice and Opera, Bachelor of Music (B.M.), Voice and Opera at Roosevelt University