I am a Principal Data Scientist at LinkedIn. I lead a team of extraordinary data scientists and engineers who are developing data-driven monetization strategies for LinkedIn's product suite and contributing to our IP portfolio through research. Some of our projects include the development of reserve prices for ads sold through the auction, estimation of survival-based lifetime value of subscribing members, development of forecasting algorithms, and identification and development of improvements to job recommendations in key segments. Prior to LinkedIn, I spent 5+ years as a Quantitative Manager (Research) at Google. There, I led research in search advertising effectiveness and developed machine learning models to help improve the targeting of Google's ads products and sales offerings. Some of our work was featured in the letter to board of directors and our research on search advertising has been featured in Techcrunch, Search Engine Land, and various media outlets. I continue to be active in the research community by publishing regularly and by serving as referee / editorial committee member for several journals (Engineering Optimization, Journal of Advertising Research, International Journal of Production Research, etc.). I hold a PhD from Northwestern University, a M.S. from University of Illinois, and a B.E from National Institute Of Technology (Karnataka, India).