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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, Ph.D., is a data scientist and IO psychologist with expertise in machine learning and people analytics. He worked as a Research Scientist & Machine Learning Specialist at Hogan Assessment Systems from October 2018 to May 2021.1 In this role, he focused on product innovation, developing predictive models, automating processes, and integrating NLP techniques to enhance assessment tools and analysis methods.1

Key accomplishments during his time at Hogan Assessment Systems include:

  1. Developing 75 advanced predictive models for core assessment products using techniques like LASSO, Random Forest, and Neural Networks.1
  2. Automating synthetic validity data generation, reducing project timelines from weeks to seconds.1
  3. Integrating the RoBERTa NLP model to revolutionize qualitative analysis methods, speeding up the process by 90%.1
  4. Investigating the use of Genetic Algorithms to develop condensed versions of personality assessments.1

Nathan holds a Ph.D. in Industrial and Organizational Psychology from The University of Tulsa.1 He has since moved on to become a Lead Talent Scientist at CodeSignal, where he continues to apply his skills in data science, machine learning, and IO psychology to provide actionable insights and recommendations to stakeholders.1

Highlights

Q&A: Natural Language Processing - Peter Berry Consultancy

Related Questions

What are some of Nathan Hundley's most notable achievements at Hogan Assessment Systems?
How has Nathan Hundley's work in NLP impacted Hogan's products?
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How did Nathan Hundley's role at CodeSignal differ from his role at Hogan Assessment Systems?
Nathan Hundley
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Location

Tulsa, Oklahoma