Nicholas Waters

Nicholas Waters is a seasoned Sr. Machine Learning Engineer at Kiewit, with a robust background in machine learning and data science. Previous roles include Machine Learning Engineer at Galvanize Inc, where Nicholas developed a music recommendation web app, a fraud prediction model for event-ticketing, and customer churn prediction models using diverse technologies such as Python, Pandas, and Scikit-Learn. As a Quantitative Psychology Lab Programmer at the University of Washington, Nicholas led programming efforts on simulations and employed Latent Class Models for survey response analysis. Additionally, Nicholas gained experience as a Data Science Intern at G2 Web Services, refining machine learning algorithms and enhancing data cleansing processes. Nicholas holds a Bachelor of Science in Psychology from the University of Washington and is furthering education at Galvanize Inc.