She is presently a PhD student in Data Science department at Queensland University of Technology. She completed her Masters in Technology (M.Tech) in Information Technology (IT) from International Institute of Information Technology (IIIT) Bangalore, India in 2014. After her Post Graduation, she worked as a Researcher in Data Analytics Lab of the Corporate Technology Office of Tata Consultancy Services Ltd., New Delhi, India for a period of 2.5 yrs where she acquired skills in machine learning and data mining algorithms. The focus of the research was to develop integrated solutions to various challenging problems pertaining to time-series analytics on sensor data. She completed her Bachelors in Technology (B.Tech) in Information Technology (IT) from Gautam Buddha Technical University, Lucknow, India in 2010 followed by 2 years of Academic teaching in Information Technology and Computer Science as a Lecturer.
Research work details
The overarching aim of this research is detecting interesting patterns, referred to as subgroups, in high speed massive data streams. These data streams are non-stationary and have a tendency to evolve over time. The patterns must not only be frequent but have discriminative power to be qualified as representatives of the data streams at any point in time. The detected
patterns will be relevant enough to derive useful insights from the complete datasets. The research will propose a solution to identify discriminative subgroups from data streams pertaining to a target property of our interest in an online manner.