Sean Lovell is a Senior Systems Engineer and Data Scientist with 12 years of experience applying statistical modeling and machine learning to aerospace and defense systems. At Raytheon he has progressed from intern to senior engineer, delivering predictive maintenance models, a patent-pending satellite maneuver classifier, and production Python data pipelines that standardize disparate weather and aircraft data for operational use. He leads mission-critical V-22 software updates and serves as the primary liaison between contractors, pilots, and government stakeholders, translating technical findings into actionable guidance for non-technical audiences. Trained with an MS in Statistics and a BS in Mathematics and Statistics, Sean blends rigorous quantitative skills with practical systems engineering to move analytic prototypes into fleet-ready tools. Based in Carmel, Indiana, he also brings a UN-focused perspective on using machine learning for social and economic challenges, reflecting a wider interest in impactful, real-world applications.
12 years of coding experience
5 years of employment as a software developer
The University of Arizona
Bachelor of Science (BS), Mathematics and Statistics, Bachelor of Science (BS), Mathematics and Statistics at Purdue University
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Sean Lovell - Senior System Engineer Data Scientist