I am a Ph.D. candidate at UIC, working with Prof. Theja Tulabandhula. My research spans different aspects of data science, including deep learning and machine learning, network science, and algorithms. I'm specifically interested in implementing Artificial Intelligence and Machine Learning approaches to solve different business problems like recommender systems, modeling social behavior, and pricing. Recently, I spent an amazing summer as an AI Scientist intern at Target corporation.
- I'm chairing a session on "Data Mining in Networks" at INFORMS 2019 Annual Meeting.
- We have an invited talk for our paper "Block-Structure Based Time-Series Models For Graph Sequences" in "Graph Algorithms and Applications".
- Our paper "Managing Adoption under Network Effects" was accepted at NetEcon, 2019.
- Our paper "Managing Adoption under Positive Externalities via Dynamic Pricing" was accepted at INFORMS RM and Pricing conference, 2019.