Nathan Hundley

I am a Machine Learning Engineer with Industrial-Organizational Psychology domain expertise. I am passionate about drawing insights from data, model development/deployment, and understanding natural language processing.

Nathan Hundley is a multifaceted professional excelling in data science, machine learning engineering, and IO psychology. With a background in full-stack development, specializing in Python, Nathan is passionate about working with data, building and deploying machine learning models, and engaging in research encompassing computational linguistics, natural language processing/generation/understanding, as well as personality and assessment development.

Having pursued a Doctor of Philosophy (PhD) in Industrial and Organizational Psychology, a Master of Arts (MA) in the same field, and a Bachelor of Arts (BA) in Psychology, Nathan Hundley boasts a strong academic foundation from The University of Tulsa and Florida Gulf Coast University.

Nathan's professional journey includes roles such as Research Scientist and Machine Learning Specialist at Hogan Assessment Systems, where he contributes to product innovation. He has also served as Adjunct Faculty at The University of Tulsa, gained experience as a Data Science Intern at Hogan Assessment Systems, and worked as an Analytics Intern at Reliant - Talent Management Solutions. Furthermore, Nathan has leveraged his skills as a Graduate Research and Teaching Assistant at The University of Tulsa.

For a glimpse into Nathan Hundley's accomplishments and projects, visit his portfolio website at www.nathanhundley.com.