Ankur Tyagi is an AI Research Manager with 10 years of cross-industry experience applying statistical modeling, machine learning, and data engineering to retail, health insurance, and transportation problems. He progressed from technology analyst and product developer roles to senior data science and research management positions at Leidos, demonstrating a consistent trajectory from hands-on engineering to technical leadership. A Carnegie Mellon MIS master's grad, he pairs rigorous academic training with practical experience building production-ready analytical systems. He has a background in financial analytics and vision/health-related data science from roles at GNC and RightEye, giving him a strong blend of domain and technical expertise. Described on GitHub as an "Engineer turned Entrepreneur," he brings an operator’s mentality and product awareness to research-led initiatives. Based in Ashburn, VA, he is known for turning complex data requirements into auditable, impact-driven solutions.
10 years of coding experience
10 years of employment as a software developer
Master's Degree Management Information Systems, Master's Degree Management Information Systems at Carnegie Mellon University
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Dr. A.P.J. Abdul Kalam Technical University
Contributions:8 commits, 6 pushes, 1 branch in 7 months
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