Prasad Chalasani, SVP of Data Science at MediaMath

Prasad Chalasani

SVP of Data Science, MediaMath

Prasad Chalasani is currently the SVP of Data Science at Media Math, leading the development of innovative, proprietary scalable algorithms, and analytics that leverage massive amounts of data to power smarter digital marketing for the world’s leading advertisers. Prior to joining Media Math, Prasad led Data Science at Yahoo Research, and before that worked for 10 years as a quantitative researcher and portfolio manager of statistical trading strategies at hedge funds and at Goldman Sachs. Prasad holds a PhD in Computer Science from CMU and BTech in Computer Science from IIT.


Monte Carlo Simulations in Ad-Lift Measurement Using Spark

Most traditional applications of Spark involve massive data-sets that already exist. A less-commonly encountered use-case, but nevertheless extremely useful, is in Simulations, where massive amounts of data are generated based on model parameters. In this… Read more