Dinh Do is an Associate Data Scientist at Navy Federal Credit Union with a 13-year career trajectory that moved from contact center mortgage origination into data-focused roles and process improvement. Selected for Navy Federal’s highly competitive Talent Optimization Program (3.4% acceptance), he trained for a Data Scientist role and now applies SQL, R, and Python to operational analytics and lending workflows. Based in Pensacola, he combines business administration and economics training from the University of West Florida with hands-on experience translating contact-center insights into measurable process improvements. Curious about natural language processing and language-model applications, he focuses on building practical NLP solutions—such as chatbots and language models—that bridge member-facing needs and internal efficiency.
13 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Business Administration | Economics, Bachelor of Science - BS, Business Administration | Economics at University of West Florida
Repository for defining a metadata format for exchanging planned land use information.
Contributions:2 reviews, 6 PRs, 73 pushes in 2 years 4 months
landland-usemetadata
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