Jordan Starkey is an Associate Data Scientist with a decade of hands-on experience applying machine learning, data engineering, and automation across enterprise and research settings. Based in Orlando, he blends strong academic credentials (BS and MS from UCF, high GPAs) with practical impact at Darden and internships at Texas Instruments and Utrip, where he built forecasting models, automated Hadoop replication, and productionized Python libraries. He has taught AI and senior design courses, advising ~200 students and grounding his work in both pedagogy and applied computer vision/NLP tools like TensorFlow and PyTorch. Jordan’s background ranges from C#/.NET application development to OO Perl test automation, showing a rare comfort moving between legacy systems and modern ML stacks. Colleagues would note his knack for creating reusable, configurable tooling that accelerates team productivity and model validation.
10 years of coding experience
3 years of employment as a software developer
Digital Communication and Media/Multimedia, Digital Communication and Media/Multimedia at Alexander W. Dreyfoos School of The Arts
Mathematics and Computer Science, Mathematics and Computer Science at University of Washington - Seattle
Bachelor of Science - BS, Computer Science, 3.8, Bachelor of Science - BS, Computer Science, 3.8 at University of Central Florida
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