Summary
Travis Vitello is a data scientist with nine years of engineering experience who blends deep manufacturing and turbine systems domain knowledge with practical machine learning and analytics. Currently pursuing an MS in Computer Science at Georgia Tech while serving as a TA, he previously earned an MS in Data Science from UVA and has tutored there, reflecting a strong commitment to teaching and mentorship. At Siemens Energy he progressed from mechanical and quality roles into global data science leadership, driving analytics, automation, and visualization that have delivered over $1M in value. He excels at translating complex engineering processes into actionable data products and cost/value insights across global teams. Known for pairing rigorous academic study with hands-on industrial problem solving, he brings uncommon continuity from shop floor engineering to enterprise-level data science. Based in Charlotte, he combines cross-disciplinary credentials (mechanical, welding, and data science degrees) to tackle hard, high-impact operational problems.
9 years of coding experience
17 years of employment as a software developer
Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at University of Florida
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Master of Science - MS Welding Engineering, Master of Science - MS Welding Engineering at The Ohio State University
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Virginia