Scott Little

Scott Little is a highly qualified data scientist with extensive experience in various fields such as solar energy, electrical and materials engineering, and physics. He holds a Doctorate in Physics, Solar Energy, Electrical and Materials Engineering from the University of Toledo, a Master of Science in Applied Physics from Ball State University, and a Bachelor of Science in Engineering Physics from Taylor University.

Scott has worked for various organizations. He is currently a Data Scientist at Webbula, where he helps companies uncover key insights in their data and develop advanced machine learning techniques to improve their businesses. Prior to that, he served as a Data Scientist at Valassis Digital and Transworld Systems. He also worked as a Data Science Instructor at General Assembly, where he taught others how to use data analysis to create effective solutions. He has experience as a professor, a mentor, and a research engineer.

Scott's expertise and interests lie in using data analysis and advanced machine learning techniques to solve complex problems. His background in physics and engineering gives him a unique perspective when it comes to approaching issues from a different perspective. He has a passion for helping companies improve their businesses and is always looking to take on larger and more challenging problems.