Stephen Riesenberg is a Data Science Team Lead in New York with nine years of experience turning messy customer data into production-ready ML and ETL systems. At HowGood he progressed from IC to team lead, blending hands-on model development—including LLM API integrations—with architecture and people management. He’s skilled in Python, SQL, and AWS, and has a track record of automating manual processes to boost reliability and efficiency. Stephen pairs client-facing problem framing with cross-functional collaboration, bridging data science, engineering, and business strategy. His background in mathematics and English plus teaching roles reflects a knack for clear technical communication and curriculum design. Outside production work he has contributed to data science education initiatives, signaling a commitment to mentoring and building capacity.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at The City College of New York
Master of Science - MS, Data Science, Master of Science - MS, Data Science at The Graduate Center, City University of New York
Bachelor of Arts - BA, English, Bachelor of Arts - BA, English at Truman State University
Uses Breadth First Search Algorithm to solve 8-puzzle
Contributions:1 PR, 6 pushes, 1 branch in 4 days
solvebreadthpuzzlebreadth-first-search8-puzzle
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