Jonathan Randolph is a Data Specialist based in Houston with 11 years of experience applying machine learning and NLP to large-scale datasets. At Kellogg Brown & Root he builds end-to-end ML solutions and experiments with neural networks to turn messy text and big data into actionable insights. Rice University-certified in Data Analytics and actively pursuing deeper mastery of neural networks, he balances practical production work with continuous learning. He also shares knowledge as a teaching assistant at Trilogy Education, blending hands-on engineering with mentorship. Known for a pragmatic approach to deploying ML in enterprise contexts, he brings both domain experience and a curiosity-driven mindset to solving data challenges.
11 years of coding experience
Computer Science, Computer Science at University of Houston
Certificate in Data Analytics, Data Analysis, Certificate in Data Analytics, Data Analysis at Rice University
High School, General Studies, High School, General Studies at Cy-fair Highschool
Contributions:8 PRs, 21 pushes, 9 branches in 1 year
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