Summary
Vignesh Gopalakrishnan is an Assistant Vice President and quantitative finance analyst in New York with 11 years of experience applying data science, ML, and AI to drive business impact across banking, fintech, and enterprise analytics. He builds scalable analytical systems and end-to-end ML pipelines—from ETL and large-scale Spark processing to production recommendation engines and time-aware personalization—that have improved engagement and revenue in prior roles. Vignesh’s background spans rigorous academic training in robotics and AI plus hands-on work in NLP for merchant name standardization and automation that cut manual effort by 70%. Comfortable teaching complex quantitative subjects, he has supported graduate courses in enterprise data analytics, linear algebra, and quality control, which complements his production focus and helps translate theory into measurable outcomes. Known for combining statistical rigor with practical engineering, he thrives on turning noisy transactional data into actionable models used in production.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Robotics and Autonomous Systems (Specialization in Artificial Intelligence), Robotics Technology/Technician, Master's degree, Robotics and Autonomous Systems (Specialization in Artificial Intelligence), Robotics Technology/Technician at Arizona State University
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Rajalakshmi Engineering College
High School, Computer Science, 89 %, High School, Computer Science, 89 % at Grt mahalakshmi vidyalaya
Training Program in Data Science, Artificial Intelligence and Advanced Analytics, Training Program in Data Science, Artificial Intelligence and Advanced Analytics at Center for Artificial Intelligence & Advanced Analytics
Post Graduate Program in Artificial Intelligence and Machine Learning, Post Graduate Program in Artificial Intelligence and Machine Learning at Great Lakes Institute of Management