Chris Pleasants

Chris Pleasants is an Applied AI/ML Engineer and Data Scientist with extensive experience in data science, evaluation, and education. They have held significant roles at various organizations, including AT&T, Microsoft, and Featurespace, where they developed innovative machine learning solutions and led teams to improve client outcomes. Chris has also contributed to educational settings as a teacher and tutor, emphasizing data-driven instruction and student success. Currently, they serve as a Senior Data Scientist at Gladly, bringing a wealth of expertise in statistics and machine learning to enhance customer experiences. Chris holds multiple degrees from the University of Minnesota, including an MA in Evaluation Studies.