Trent Bradberry

Trent Bradberry has extensive experience in data science and machine learning. Trent has worked as a Principal Data Scientist at Elder Research, where they applied various data science and machine learning methods to different data types and played a crucial role in translating business problems into technical solutions. Trent also worked as a Lead Data Scientist and Senior Data Scientist at the same company. Before joining Elder Research, Bradberry worked as an Independent Contractor (Data Scientist) at T and T Consulting Services, Inc. Additionally, they served as a Senior Data Scientist at SphereOI Studios. Prior to that, they were a Research Analyst at Metron, Inc., where they developed software algorithms in Java, Python, and C++ for various purposes. Trent also contributed to MATLAB modeling projects. Bradberry started their career as a Graduate Research Assistant at the University of Maryland, focusing on signal processing and machine learning. Trent also worked as a Research Contractor at the National Institutes of Health and served as a Senior Software Engineer at Raytheon, where they maintained software modules and developed analysis tools.

Trent Bradberry holds a PhD in Bioengineering from the University of Maryland. Trent also has a Master of Science in Electrical and Computer Engineering from the Georgia Institute of Technology and a Bachelor of Science in Computer Engineering from Clemson University. In terms of additional certifications, Trent has obtained the AWS Certified Cloud Practitioner certification from Amazon Web Services (AWS), an OSINT: Open-Source Intelligence certification from Udemy, and the Competitions Master and Discussion Expert certifications from Kaggle.