Charlie Garavaglia is a Senior Data Engineer with 11 years of experience blending rigorous mathematical training and practical Python-driven data science to deliver safety-critical analytics and applications for government and industry. He has evaluated statistical models and built data science systems for USMC range safety products used across NATO, and recently advanced data engineering practices at ECS. Comfortable shipping production code and automation—from REDCap genomic pipelines to NLP-powered document processing—he pairs domain-focused experimentation with pragmatic engineering. Colleagues rely on his clear collaboration and project management: he’s led cross-functional teams, managed client relationships, and presented work at military briefings. Based in Chicago, he brings a mathematician’s curiosity to applied problems and a habit of turning research-grade analyses into reliable, auditable tools.
11 years of coding experience
8 years of employment as a software developer
Master of Arts - MA Mathematics, Master of Arts - MA Mathematics at Saint Louis University
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