About

Harshit Gujral is a Ph.D. student in Computer Science at the University of Toronto with a keen interest in the intersection of AI, machine learning, and society. He has a wealth of experience as a Data Scientist and has contributed to air pollution, public policy, and counterterrorism through his knowledge of computational modeling. Harshit has built specialized computational models by combining network science with machine learning, resulting in several interdisciplinary papers at the intersection of data science and domains such as Ecology, Software Engineering, Cybersecurity, and International Relations. He has also been associated with leading organizations such as Koc University (Istanbul, Turkey), CSIR-CDRI (Lucknow, India), Delhivery, and HackerRank. Currently, Harshit aims to assess the unceasing phenomenon of climate change by using computational intelligence to mitigate its effects. He is a skilled Data Scientist with relevant experience of 4.19 years and has worked as a Technical Writer at HackerRank, where he developed data science and machine learning questions that several corporates use to hire candidates for data science-aligned positions. He has also worked as an Associate Data Scientist at Delhivery. Harshit has a Bachelor of Technology with Honours in Information Technology from Jaypee Institute of Information Technology, Noida, and has a TechStack that includes Data Scientist, Research Scientist, ML, test, and AI. His LinkedIn profile showcases his passion for using computational modeling to solve real-world problems and his drive to make a positive impact on society.