Vishnu Kunchur is a Data Science Lead with a decade of cross-industry experience building full-stack ML/DL solutions that drive measurable business impact across payments, steelmaking, and music. He has led teams to design and deploy production fraud-detection ensembles and risk engines at Paysafe, delivering multi-model systems that sharply increased precision while preserving recall and saved hundreds of thousands annually through merchant-level embedding and community-detection innovations. Comfortable from SQL and ETL to AWS SageMaker and PyTorch, he combines rigorous statistical thinking with hands-on engineering to serve REST endpoints and near-real-time scoring pipelines. Early work applying survival analysis to playlist dynamics at Universal Music and a public music+AI project reveal a creative bent for productizing data science in consumer domains. Colleagues rely on him for pragmatic prototyping in agile settings and for translating complex analytics into operational tools used by risk analysts and underwriters.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Business Analytics, Master's degree, Business Analytics at University of Southern California
Bachelor's degree, Metallurgical and Materials Engineering, Bachelor's degree, Metallurgical and Materials Engineering at National Institute of Technology Rourkela
Contributions:22 commits, 21 pushes, 1 branch in 1 day
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