Rohan Khilnani is a seasoned data scientist currently employed at AWONE since January 2022, where significant contributions include developing calculations and video streaming for an online gaming platform featuring 50 dice and card games. Prior experience includes a role at UnitedHealth Group from August 2019 to January 2022, where Rohan designed a novel loss function in an attention-based LSTM for multi-disease prediction, resulting in a patent filing. Rohan's early experience as a Data Science Intern at Edelweiss Financial Services Limited in mid-2018 involved creating an email classification server utilizing recurrent neural networks in Python. Rohan holds a Master of Science (M.Sc.) degree in Chemistry from the Indian Institute of Technology, Kharagpur, completed in 2019.
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