Summary
Amartya Hatua is a Senior Data Scientist based in Cambridge, MA with nine years of experience blending industrial software engineering and academic research in ML, NLP, and data mining. He holds a PhD in Computational Science and has translated research on information/knowledge bots, fact-checking, and GAN-based claim verification into production-ready systems such as an end-to-end LTV pipeline at Fidelity and an AWS-deployed waste-classification system. His background includes hands-on mobile and multimedia engineering at LG (contributing to G2–G5 phones) and multiple patents for Smart TV and AR devices filed in South Korea, reflecting a rare mix of device-level product delivery and advanced algorithm development. A prolific researcher with 10 peer-reviewed papers and international collaborations across India, South Korea, and the USA, he also brings experience in explainable AI and practical NLP extraction for business use cases. Notably, his PhD work identified concrete features of intelligent social bots and improved goal-oriented chatbots using transfer learning and attention, demonstrating an ability to convert novel research into measurable performance gains.
9 years of coding experience
3 years of employment as a software developer
12th, Science, 1st class, 12th, Science, 1st class at New Alipore Multipurpose School
Internship, Digital Image Processing, Internship, Digital Image Processing at Indian Statistical Institute, Kolkata
Master of Technology (M.Tech.), Information Technology, 7.63, Master of Technology (M.Tech.), Information Technology, 7.63 at National Institute of Technology Karnataka
10th, General, 1st Class, 10th, General, 1st Class at Ramakrishna Mission Boys' Home High School, Rahara
Doctor of Philosophy - PhD, Computational Science, 3.9, Doctor of Philosophy - PhD, Computational Science, 3.9 at The University of Southern Mississippi
Bachelor of Technology (B.Tech.), Information Technology, 8.55, Bachelor of Technology (B.Tech.), Information Technology, 8.55 at Calcutta Institute Of Engineering And Management