Shubhranshu Shekhar
Shubhranshu Shekhar is a Ph.D. student at the Heinz College of Information Systems and Public Policy.
I am a Ph.D. candidate in the joint Machine Learning and Public Policy program at Carnegie Mellon University’s Machine Learning Department and Heinz College. I am fortunate to be advised by Prof. Leman Akoglu and Prof. Christos Faloutsos. During my Ph.D. studies, I’ve also spent time at Adobe (2019), and PayPal (2018) as a research intern.
Before joining CMU, I was working as a Data Scientist with Flipkart. I worked on improving search quality with particular focus on query expansion and query recommendation. I am an early contributor to spark-transformers, an open source library for exporting Spark models.
My primary research interest is in the area of Anomaly Detection with applications to fraud detection and event detection in domains such as healthcare, and finance.
Before joining CMU, I was working as a Data Scientist with Flipkart. I worked on improving search quality with particular focus on query expansion and query recommendation. I am an early contributor to spark-transformers, an open source library for exporting Spark models.
My primary research interest is in the area of Anomaly Detection with applications to fraud detection and event detection in domains such as healthcare, and finance.