Johnathan Higgins is a data engineer with a decade of analytical and teaching experience, currently building data solutions for Vibrant Emotional Health in the New York City area. He combines a strong mathematical foundation (B.S. with a 3.93 GPA from Stony Brook) with practical skills in Python, R, and data analysis honed across roles from underwriting in financial services to lecturing and TA work. His background in underwriting gives him a pragmatic risk- and compliance-aware perspective on data pipelines, while his academic teaching experience sharpens his ability to explain complex quantitative concepts to nontechnical stakeholders. Known for bridging rigorous quantitative thinking with production engineering, he focuses on turning statistical insight into reliable, maintainable data products.
10 years of coding experience
Bachelor of Science, Mathematics, 3.93 GPA, Bachelor of Science, Mathematics, 3.93 GPA at Stony Brook University
Contributions:19 commits, 17 pushes, 1 branch in 6 years 8 months
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