Sowmya Tata is a Quantitative Research Analyst at Fidelity Investments with eight years of experience applying data analytics, machine learning, and optimization to finance problems. She holds an MS in Quantitative and Computational Finance from Georgia Tech and a B.A.Sc. in Engineering Science (Engineering Math, Stats & Finance) from the University of Toronto, combining rigorous quantitative training with practical programming skills. Her work spans model development, statistical analysis, and production-ready implementation, informed by progress toward the CFA charter. Comfortable at the intersection of finance and technology, she excels at turning complex financial questions into efficient, data-driven solutions. Based in Boston, she brings a multidisciplinary perspective that blends academic depth with industry impact.
8 years of coding experience
Master of Science - MS, Master of Science - MS at Georgia Institute of Technology
Bachelor of Applied Science (B.A.Sc.), Bachelor of Applied Science (B.A.Sc.) at University of Toronto
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