Summary
Corey Coole is a Senior Data Scientist with seven years of experience building and operationalizing ML and NLP solutions in large-scale servicing environments, currently leading machine learning prototyping and deployment at American Express Business. He combines a strong mathematics and statistics foundation from Arizona State University with practical engineering skills in Python, SQL, TensorFlow/Keras and both supervised and unsupervised modeling. Corey has driven cross-functional initiatives—like Servicing 360—and led projects that translate complex customer dialogue and unstructured text into actionable business insights. Prior roles span analytics engineering and data modeling, giving him a hands-on feel for data pipelines, dashboarding, and production stability. Based in Scottsdale, he brings a pragmatic focus on turning experimental models into reliable, operational algorithms that directly influence servicing strategy.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science in Mathematics, MATHEMATICS AND STATISTICS, Bachelor of Science in Mathematics, MATHEMATICS AND STATISTICS at Arizona State University
Data Science , Data Science/Machine Learning, Data Science , Data Science/Machine Learning at Thinkful