Jonathan Balaban is a founder and data science leader with a decade of experience designing and deploying AI and machine learning solutions across industries from crypto to Fortune 500s. He builds production-grade systems—computer vision platforms, serialized model ensembles, forecasting and pricing engines—and pairs them with customizable interpretability dashboards so stakeholders can act on messy data. Previously he led data science teams at Flipside Crypto and Quantium, and taught hundreds of business leaders how to run full-stack, deployable data science programs at Metis and General Assembly. Based in San Francisco, he blends consulting rigor from Booz Allen and McKinsey with hands-on engineering and product instincts, making him as comfortable scoping strategy as shipping scalable models. An uncommon strength is translating ambiguous business problems into measurable ML products that guide major investment and deployment decisions.
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
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jonathan Balaban - Founder at Ternion Strategy Group