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Arsh Modak is a Data Scientist at Caveonix since January 2022, focusing on the implementation of a Deep Learning-based Self-Supervised Anomaly Detection Engine for NetFlow data and conducting research in CyberSecurity. Previous experience includes roles as Teaching Assistant and Instructional Assistant at Khoury College of Computer Sciences, providing support in data science education, and a co-op Data Scientist position at Caveonix, where a Self-supervised Time-Series Anomaly Detection system was developed. Prior positions include a Graduate Research Assistant at Northeastern University, specializing in processing research papers, and a Data Engineer at Mactores, optimizing fraud detection methods. Arsh holds a Master of Science in Data Science from Northeastern University and a Bachelor of Technology in Information Technology from Bharati Vidyapeeth.