Bengaluru, Karnataka, India
Classification of Suspicious Emails into Phish/Ham emails: 1. Speeden up the process of tagging/labelling the emails by using clustering algorithms 2. Built an ML model on the top of sub optimal training data that can stop the phishing attacks for the duration until all emails were not tagged 3. Reduced the human effort and man hours of company by 60-70 percent
Teaching Assistant for the courses: 1. Data Structures & Algorithms (CS F211) 2. Database Systems (CS F212)