Summary
Vincent Hebble is a data-driven planning and forecasting manager with nine years of experience applying analytics to operations at BNSF Railway, where he has progressed from hands-on mechanical roles to leading forecasting and performance initiatives. He blends Python, big data, and machine learning to optimize safety, efficiency, and throughput across North America’s largest freight network, translating complex models into actionable recommendations for diverse stakeholders. Vincent is pursuing an MS in Analytics at Georgia Tech and holds an MBA and a CS bachelor’s degree, a combination that ties rigorous technical skill to business and financial insight. His background as a graduate assistant coach and resident leader reveals a knack for mentorship and cross-functional coordination that complements his analytical expertise. He often surfaces non-obvious operational levers by coupling domain knowledge from shop-floor roles with advanced modeling techniques, speeding adoption of data-informed processes across teams.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Analytics, 3.5, Master of Science - MS, Analytics, 3.5 at Georgia Institute of Technology
Master of Business Administration - MBA, Concentration in Finance, 3.91, Master of Business Administration - MBA, Concentration in Finance, 3.91 at University of La Verne