Kyle Skompinski is a Senior Software Engineer with a decade of experience building data-driven systems and production software, currently leading engineering efforts at Nike after progressing from contract and data engineering roles. He combines strong backend and data skills—demonstrated by machine learning work on an NBA sports-betting project using Pandas and TensorFlow—with practical experience delivering enterprise-grade solutions at M&T Bank and PerkinElmer. Based in Buffalo, NY, Kyle also brings entrepreneurial grit from running a small business for six years, informing a pragmatic, results-oriented approach to problem solving. Colleagues rely on him to bridge data science and software engineering, turning messy datasets into deployable models and scalable pipelines.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University at Buffalo
Contributions:15 releases, 29 reviews, 121 commits in 3 years 2 months
Contributions summary:Kyle primarily contributed to the development of an NBA sports betting project using machine learning. Their work involved processing and cleaning odds data from Excel files for various seasons using Python and Pandas. They also implemented functions to retrieve team data and integrated this data into a machine learning model built with TensorFlow, focusing on predicting game outcomes and under/over results.
Contributions:6 pushes, 1 branch in 1 year 4 months
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Kyle Skompinski - Senior Software Engineer at Nike