Samarth Navali is a Data Scientist at AppZen since June 2023, with previous experience as the Head Graduate Teaching Assistant at Carnegie Mellon University and a Data Science Intern at Chegg Inc. During the internship, Samarth contributed to the Personalization and Recommendations Team, analyzing clickstream data from 23 million sessions and identifying user intent clusters to enhance recommendations. Samarth also served as a Graduate Teaching Assistant for a Natural Language Processing course at Carnegie Mellon University. Prior to this, Samarth held multiple roles at Samsung R&D Institute India, progressing from Software Engineer Intern to Senior Software Engineer, where significant contributions included the development of on-device intelligent suggestion engines and NLP-based features for Bixby. Samarth completed a Master of Science in Intelligent Information Systems from Carnegie Mellon University and a Bachelor of Technology in Computer Science from PES University.
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