Akbar Agha

Lead Data Scientist

New York, New York, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job11 years of employment as a software developer
bookBachelor of Science (B.Sc.) Mechanical Engineering, Bachelor of Science (B.Sc.) Mechanical Engineering at University of Illinois Urbana-Champaign
languagesUrdu, Russian
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (3)

modeling5
computation5
python4

Programming languages (1)

Python

Github contributions (5)

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akbaragha0712/hello-world

Aug 2016 - Apr 2021

Contributions:5 pushes, 2 branches in 4 years 8 months
NCAA Team pricing model for a Calcutta sports betting pool
Contributions:2 PRs, 5 pushes, 2 branches in 4 years 3 months
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Akbar Agha - Lead Data Scientist