Automated the daily algorithmic processing of terabytes of data by leveraging Hadoop MapReduce on a shared cloud computing platform•Leveraged academic research, in vector similarity, to implement co-traveling algorithms; enabling the discovery of co-traveling events between millions of asynchronous entitles.•Created a Neo4j graphical database by aggregating, normalizing, and feature engineering disparate data sources from across the enterprise•Implemented tree data structures to… Show more Automated the daily algorithmic processing of terabytes of data by leveraging Hadoop MapReduce on a shared cloud computing platform•Leveraged academic research, in vector similarity, to implement co-traveling algorithms; enabling the discovery of co-traveling events between millions of asynchronous entitles.•Created a Neo4j graphical database by aggregating, normalizing, and feature engineering disparate data sources from across the enterprise•Implemented tree data structures to efficiently process geo-data for complex geo-graphical algorithms•Coordinated with subject matter experts to identify key variables to add as inputs into supervised and unsupervised machine learning algorithms used to classify entitles of interest Show less

•Implemented Bayesian statistical techniques to take disparate data sources, which provided marginal insight, and layer them on top of one another to provide robust probabilistic insights•Organized and interpreted data to inform US decision makers, drive successful project, and shape technology and resource investments•Communicated conclusions to diverse audiences, including non-technical audiences

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