Jonathan Balaban is a data science and consulting leader based in San Francisco, founder of Ternion Strategy Group, driving AI and ML solutions for clients across industries since 2022. He designs and deploys products ranging from computer vision platforms and serialized AI ensembles to forecasting models, pricing engines, and interactive analytics/interpretability dashboards. Prior to Ternion, he led data science at Flipside Crypto and managed AI engines for Fortune 500 clients at Quantium, shaping data-driven investment and product decisions. He has a rich history in education and strategy, having taught 300+ leaders at Metis and led ML programs at General Assembly, McKinsey, and Booz Allen Hamilton. A Georgia Tech Industrial and Systems Engineering graduate, he blends rigorous engineering discipline with client-focused delivery and talent development, including helping alumni land roles at Apple, Zillow, and Amazon. Based in the Bay Area, he translates messy data into practical, scalable insights that unlock hidden value for organizations.
10 years of coding experience
7 years of employment as a software developer
Industrial and Systems Engineering, Industrial and Systems Engineering at Georgia Institute of Technology
Contributions:23 commits, 21 pushes, 1 branch in 13 days
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