Summary
Benjamin Greenawald is a data scientist with 11 years of experience building production analytics and automation at Virginia Tech, specializing in Python, Dash, Django, and AWS-hosted solutions. He manages faculty data workflows and has built a multi-dashboard web app with Elastic Beanstalk, ElastiCache, and CI/CD to support ad hoc reporting for diverse university stakeholders. His work spans end-to-end data engineering, topic modeling with spaCy and gensim, and modernizing legacy processes through automation. Benjamin’s career began with a machine learning proof-of-concept intern project that shaped his focus on using automation to augment—not replace—human work, a perspective he continues to bring to institutional analytics. He holds an MS in Data Science and a BA in Computer Science and Mathematics from the University of Virginia, combining strong academic rigor with practical, stakeholder-facing delivery.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA with Distinction, Computer Science and Mathematics (with concentration in probability and statistics), GPA: 3.847, Bachelor of Arts - BA with Distinction, Computer Science and Mathematics (with concentration in probability and statistics), GPA: 3.847 at University of Virginia