Favorites ()

Kyle Stahl


Software Engineering and Data Science

  • Education
  • MS, Business Analytics, University of Minnesota
    BS, Industrial and Systems Engineering, University of Minnesota

  • Research Interests
  • Machine learning, operations research, dev ops, cloud computing, decision science, economics, history, leadership, and helping people solve problems.

As a Senior Data Scientist at Cargill Inc, Kyle has developed numerous machine-learning and operations research solutions. He has applied advanced analytics techniques to various industry groups within Cargill such as global supply chain, animal growth modeling, biochemistry, sales, agronomy, and production scheduling. He has worked on the full stack of the machine learning process from helping define the problem and gather data to integrating the mathematical models into software and helping people adapt their business process to the new technology. Kyle has also contributed articles and tutorials to the popular online data science publisher Towards Data Science regarding new technologies and tools for machine learning.