Summary
Anthony Schams is a Lead Scientist with nine years of experience applying data science, machine learning, and NLP to solve operational problems across government and industry. With a background in biophysics and an MS in Data Science, he combines rigorous experimental design with practical engineering in Python and Keras to move models from prototype to production. He has a track record of delivering measurable impact—automating a Vehicle Allocation Method analysis that cut 100+ man-hours to under 15 minutes and identifying 300 TB of reclaimable storage for a large video infrastructure team. His work spans building data pipelines, dashboards, and ML-driven tooling that improve procurement, asset management, and customer-facing workflows. Known for translating stakeholder interviews into actionable business rules, he thrives at the intersection of analytics, automation, and user-centered process improvement.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at University of Maryland
Master of Science - MS Data Science, Master of Science - MS Data Science at Southern Methodist University