Summary
Surendra Singh is a Data Scientist with 11 years of engineering experience and a PhD in Biometrics from Clarkson University, combining deep academic expertise in machine learning and statistical learning with hands-on production experience. He has progressed from web and front-end development roles to technical leadership positions at Reliance and Mindtree before moving into research and applied data science at Clarkson and HID. His work bridges biometric research, applied ML, and engineering delivery—bringing models from prototype to real-world systems. Based in Potsdam, NY, he pairs rigorous statistical training from Stanford coursework with practical team leadership, and often draws on his early full-stack development background to build end-to-end solutions.
11 years of coding experience
7 years of employment as a software developer
Statistical Learning, Statistical Learning at Stanford University
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Master computing and information system, Master computing and information system at University of Greenwich
Doctor of Philosophy - PhD Biometrics, Doctor of Philosophy - PhD Biometrics at Clarkson University
English, Hindi