Praneeth Kandula is a Senior Data Analyst specializing in fraud risk with about a decade of experience turning large-scale transactional and user data into practical detection rules, ML prototypes, and BI dashboards for enterprises like Best Buy and Amazon. He combines hands-on SQL, R/Python modeling, and dashboarding with cross-functional collaboration to embed fraud strategies into product, engineering, and operations workflows. Notable strengths include optimizing rule- and model-based engines to reduce loss, running kaizen initiatives that delivered measurable savings, and translating complex analytics into executive-ready insights. A Master’s in Business Analytics and a B.Tech in Computer Science underpin his blend of technical depth and business judgment, and his GitHub-driven belief in big-data analytics reflects a pragmatic, data-first approach to risk mitigation.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Business Analytics and Information Systems, Master's degree, Business Analytics and Information Systems at University of South Florida
The Hyderabad Public School Ramanthapur - HPS (R)
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at National Institute of Technology Calicut
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