Summary
Vritansh Kamal is a Machine Learning Engineer with nine years of technical experience and 5+ years focused on AI, ML, and deep learning across healthcare, telecom, and fintech. He blends research and production experience—from training transformer models at GE HealthCare and teaching data science at Columbia to building predictive pricing and risk models for CVS Health. His background spans NLP, graph analytics, and search optimization from roles at Verizon and Oracle, plus hands-on cloud and microservices development earlier in his career. Comfortable moving models from prototype to production, he has applied multi-year EHR data for forecasting and pricing use cases and contributed to fintech research initiatives. Based in New York with roots in India, he combines rigorous academic training (MS Data Science, Columbia) with practical industry delivery, often bridging research insights and business impact. An understated strength is his cross-domain fluency that lets him translate complex modeling advances into measurable financial and operational outcomes.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science And Engineering, Bachelor's degree Computer Science And Engineering at SRMIST, Kattankulathur, Chennai ,Tamil Nadu
Master of Science - MS Data Science , Master of Science - MS Data Science at Columbia University
High School All Subjects, High School All Subjects at La Montessori Chain Schools
English, Hindi, Spanish