A computer scientist passionate about building predictive systems and evaluating their impact. I enjoy dealing with large, messy data and have contributed to designing novel recommender systems and modeling their effect on information diffusion in social networks. As a Ph.D. student at Cornell, my research involves a combination of online experiments and large-scale data mining to deliver insights about people's preferences on items, and how recommender systems influence them. If you are interested, more details about my research are here: http://www.cs.cornell.edu/~asharma/Brief industry stints have helped me apply my research ideas to a larger scale. I developed a novel recommendation model for community recommendation at LinkedIn, prototyped collaborative models of augmenting restaurant data at Google and more recently, worked on estimating the impact of recommender systems in driving volume on e-commerce websites at Microsoft Research.