Summary
Ryan Ball is a Strategic Solutions Engineer with six years of experience building ML-driven analytics and data engineering solutions across energy, enterprise cloud, and computer vision domains. He blends hands-on modeling (Scikit-learn, TensorFlow, Spark MLlib) with production data stacks (Snowflake, dbt, PostgreSQL, AWS) to translate product and business questions into scalable pipelines and actionable analytics. At Roboflow he focused on vision and multimodal AI, and at Chevron he applied data science to sales and trading—demonstrating an ability to move between research, product, and commercial contexts. Trained with a BS/MS in Applied Data Science from USC, he pairs deep technical fluency with customer-facing solution design and a knack for making complex models operational.
6 years of coding experience
5 years of employment as a software developer
Bachelor's + Master's - Applied Data Science, Bachelor's + Master's - Applied Data Science at University of Southern California
Chinese, English