Developed and implemented data pipeline process for Oracle Cancer Research CloudDeveloped and implemented machine learning algorithms to enable data curation for Oracle Cancer Research CloudTools, techniques, and skills used: R, Spark, Python, Oracle dB, Oracle Exadata Platform, Machine Learning, Neural Networks, Statistical Analysis, Data Quality Management

Developed a neural network model to evaluate customer preferences among groups of Nike products, which will be used to optimize targeted communications and aggregate demand forecastingCreated an intermediate data table structure for reduced clickstream data for a new Nike app and led the team that implemented the ETL to create the intermediate data tables, empowering the business to quickly prioritize new features and in-app contentDeveloped and delivered into production a predictive model to evaluate a customer’s probability to purchase a specific Nike product based on their previous purchasing, browsing, and app usage history, resulting in over a 2x increase in the conversion rate of in-app offersLed the effort to successfully divest Nike from an outside vendor used to resolve a customer’s identify from his or her multiple touch-points within the Nike app ecosystem by developing the capability in-house, producing an annual savings of over $4MTools, techniques, and skills used: R, Hive, Impala, Hadoop, Spark, Python, TensorFlow, SQL, Elastic Map Reduce (EMR), Machine Learning, Neural Networks, Statistical Analysis, Data Quality Management

Developed Recommendation Engine for Slot Machine game content which showed an 8% increase in slot machine performance in field trialLed intra-departmental big data (Hadoop, Hive, R, Shiny) and data science effort resulting in improved understanding of IGT product portfolio and competitive positioningWorked with Engineering and product teams to ensure data quality and implemented data quality monitoring scripts and dashboards for cloud system productsTools, techniques, and skills used: R, Shiny, Tableau, Hive, Impala, Hadoop, SQL, Statistical Analysis, Monte Carlo Simulation

Developed, tested, and implemented new proprietary models to predict medium term individual equity movements based on historical price patternsManaged vendor selection and product implementation for Hyde Park Global’s automated trading systemsDeveloped and implemented analyses for transaction cost analysis for Hyde Park Global’s  automated trading systemTools, techniques, and skills used: Visual c++, Java, SQL, Machine Learning, Time Series Analysis, Statistical Analysis, Excel, MINITAB, Reuters Stock Market Live Quote Feed, Reuters News Sentiment Analysis Feed

Developed and supervised tire testing plan for a major tire manufacturer, which served as the basis for that manufacturer’s tire comparison websiteAnalyzed land holding portfolio for a major forest products company, modeling the expected future value of the land against the costs of holding the land and procuring timber from other sources, allowing the client to sell off over 2 million acres of timber landOptimized product delivery system for an Atlanta area charity, producing a 50% reduction in client wait time for the 2001 Christmas seasonTools, techniques, and skills used: Consulting, Excel, Statistical Analysis