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I am a Doctoral Candidate studying Information and Decision Sciences at University of Minnesota.
I develop statistical methods that help Marketers, Clinicians, and Policy-makers better conduct Randomized Controlled Trials (A/B testing). These questions fall in the line of literature related to Heterogeneous Treatment effects and Multi-Arm Bandits. I use a mix of Statistics, Machine Learning and Causal Inference to solve the above problems.
My Advisors are Ravi Bapna and Edward Mcfowland III
Before moving to Minneapolis, I worked at Google as an Automation Specialist in the Google Search Anti-Abuse team developing scalable solutions to fight abuse on Google Search.
Before that, I completed Masters’ and Bachelors’ in Aerospace Engineering with a specialization in Computational Fluid Dynamics from the Indian Institute of Technology, Kharagpur.
I am from Kalyanadurgam, a town in Anantapur district of Andhra Pradesh, India.
While I am not doing research or grading assignments, I am either running or floating on my onewheel.