Summary
Akbar Agha is a Lead Data Scientist in New York with nine years of cross-functional experience building and deploying predictive models for pricing, sales forecasting, search, and public-interest analyses such as racial bias in plea bargains. He combines hands-on expertise in Python, PySpark, SQL and deep learning frameworks with cloud-native deployment on AWS SageMaker, Airflow, Docker and Kubernetes to move models from prototype to production. At Grainger he delivered measurable business impact—identifying a $405M assortment opportunity and improving automated text prediction—then scaled those skills into leadership roles at DailyPay and now Chime. A self-taught, fast learner who began in mechanical engineering and supply-chain optimization, he uniquely blends analytics rigor with operational execution, having led multi-million dollar warehouse projects and collaborated closely with C-suite stakeholders. He also mentors and teaches data science fundamentals, reflecting a commitment to translating complex methods into actionable business insights.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.Sc.) Mechanical Engineering, Bachelor of Science (B.Sc.) Mechanical Engineering at University of Illinois Urbana-Champaign
Urdu, Russian