Kamakshi Sivaramakrishnan.

Extensive experience in adaptation/application of cutting edge academic ideas, statistical techniques and machine learning algorithms to digital advertising problems. Expertise in designing quantitative algorithms for areas ranging from computational advertising, statistical signal processing and nonparametric estimation techniques to information theory. Established track record in identification of crucial revenue and business opportunities using scientific analytical approaches. Building and mentoring highly effective scientific engineering teams geared towards a revenue optimization agenda.

Specialties: Statistics, convex optimization, risk analysis

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