Pritam Kumar Nath
Questioner · DISC type cPritam is a Senior Applied Scientist at Oracle specializing in the training and evaluation of Large Language Models. An M. Tech graduate from IISc Bangalore, his experience includes enhancing AI risk products with Graph Neural Networks at Mastercard. Colleagues describe him as an innovative and determined problem-solver.
His research on temporal graph learning has been accepted at prestigious AI conferences, demonstrating his commitment to advancing machine learning applications in complex domains like finance and enterprise technology.
Pritam co-authored research on Temporal Graph Neural Networks that was accepted at a NeurIPS 2023 workshop.
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While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. It is quite likely of them to ask for pricing or other concessions. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.
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Calculativeness (C)
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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