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Research Project
samsung electronics•  December 2019 - August 2020
User Sleep Pattern Detection with On-Device Learning: worked on designing a simulation model through which thedevices like mobile can predict on its own the user sleep pattern through iterative approach. Also, developing APIfor retrieving 24-slices (time-windows) from a given point of time, each having confidence of user’s sleep.•Recognizing and understanding relations between features and physical state of the user, through appropriate classifier to figure out the exact time slabs in which the users did not use their phone.
Education
University of California, San Diego (UCSD)
Computer Science, MS•  September 2021 - Present
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