Managed consultant developer team to initialize foundational data science infrastructure including AWS cloud developer environment and Snowflake data warehouse for Market Intelligence.Pushed to create a new IS/IT delivery team focused on the Market Intelligence department.Lead and mentored direct reports to develop effectively within Nissan's complex environment.Facilitated collecting research data in a standardized and automated way as well as collecting net new data from online and API sources.

Created and automated contextual NLP on vehicle feature reviews from disparate sources.Leveraged access to customer data to create a holistic customer loyalty index and star rating system that helps Nissan make smarter spending decisions on customers.Integrated public/internal data and used machine learning to create automated statistically accurate hierarchical forecasts for many levels of product and geography categories to help inform decision makers.Internalized 3rd party products/services to save $2+ million on data service contracts in 2022.

Used historical data, statistical modeling techniques, and machine learning to identify potentially high risk Medicare Advantage patients in order for PHC health practitioners to manage their care and prevent adverse health outcomes, which significantly reduced High Risk beneficiary cost and use.Use SQL procedures, R database connectivity, and R programming to manipulate big data and simplify data processes into automated scripts.

Wrote software to automatically generate reports for a large healthcare organization that sped up the data collecting and report writing process from 2 weeks to 15 minutes, and eliminated 40 hours of labor per month.Aside from using licensed software, adept at using open-source software and tools (MySQL, PostgreSQL, R) to accomplish results completely and effectively; providing streamlined completion while reducing project timelines and costs.Trusted with entire projects: from discovery and ETL to analysis and reporting; Problem solved and created accurate business solutions that empowered clients to make data driven decisions that saved them hundreds of thousands of dollars.

Delivered a custom tool for large-scale risk adjustment calculations for the Medicare advantage population by reverse engineering CMS algorithms (HCC) to audit healthcare providers expected revenues from CMS based on their diagnosis coding practices providing a clear picture of expected revenues for the year.Provided an interactive dashboard solution to large ACOs giving power to decision makers regarding costs and use. The dashboard enabled decision makers to improve costs and quality of beneficiary care.Using US military security clearance, provided data warehouse quality audit; provided cleaned datasets for use in proprietary survival analysis tools to evaluate US military vehicle's status and lifetime expectancy to aid in protecting military assets on the ground.