Summary
Cameron Carver is an ML/AI Architect with 8 years of experience translating business problems into production machine learning systems across healthcare, insurance, and consumer services. He combines a BBA-backed business sensibility with hands-on expertise in Python, SQL, AWS, Spark, NLP, time-series forecasting, and production deployment to consistently deliver measurable impact—e.g., cutting response time from 30 to 2 hours and improving forecast MAPE from 23% to 8%. His work includes clinical NLP and NER to support DRG coding and charge review, end-to-end text classification pipelines used in medical review, and supply-chain optimization at scale. Based in Nashville, he has moved from data science and financial underwriting into architecture roles, bringing a pragmatic focus on operationalizing models and tooling (including custom visualization libraries) that integrate with business workflows. Colleagues describe him as a full-stack data scientist who thinks like a product manager, prioritizing models that save time and money rather than academic novelty.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Business Administration (B.B.A.), Business Administration, Management and Operations, 3.7, Bachelor of Business Administration (B.B.A.), Business Administration, Management and Operations, 3.7 at University of Alabama
Data Science Fellow, Data Science, Data Science Fellow, Data Science at Galvanize Inc
Semester At Sea / ISE