Summary
Melvin Dunn is a data scientist with 11 years of experience applying machine learning, NLP, and computer vision to product, fraud, and enterprise problems across consultancy and industry. He has led teams and projects at Accenture and Digital Turbine, built production data pipelines and OCR/NLP systems at eSimplicity, and worked on SCIF-restricted analytics and fraud-related network analysis at Booz Allen. Comfortable across the stack from SQL dashboards and A/B testing to model deployment and software engineering, he pairs rigorous statistical analysis with practical product instincts. A Georgia Tech master's graduate, he also mentors and guides junior practitioners, bringing a blend of research-caliber techniques and hands-on implementation to commercial challenges. Less obvious: he’s experienced in operating under high-security constraints and translating messy, sensitive datasets into auditable analytical products.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Bachelor's degree at Virginia Commonwealth University