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San Francisco Bay Area United States

distributed systems engineer, ETL, machine learning

Technology / Software / Internet

the science of data--collecting it, storing it, transforming it, displaying it, and using it for prediction. designing, and implementing the infrastructure required to collect, clean, and store that data. using analytical techniques to solve a variety of business problems--e.g., hyper-personalized user experience, predicting lifetime customer value (LTV), predicting online fraud, decomposing the population of registered customers into discrete, targetable segments. fluent in writing production code for the services layer, computational and traditional statistical methods as well as Machine Learning techniques: (i) spectral decomposition techniques (e.g., kPCA); (ii) supervised techn...