- Conduct data analysis to understand trends in healthcare utilization and cost, including areas of overutilization, inefficiency, and waste.- Develop and maintain dashboards, reports, and other visualizations to communicate findings to internal stakeholders, including senior management and clinical departments.- Work with actuarial, product, and risk management teams to analyze the financial impact of various benefit plan designs and propose changes to optimize plan performance. - Collaborate with cross-functional teams to identify opportunities for cost containment and performance improvement and develop recommendations for action based on data-driven insights.

- Document and process specimens for testing and analysis using Epic Beaker software-- Build SQL reports within Epic to help report on specimen processing productivity - Various voluntary lab projects, including testing validation and fume testing- LEAN Analytics training and continuing education trainings

- Data entry of specimen and patient information- Receive, prepare, and process clinical lab specimens for testing and analysis - Maintain lab equipment and instrumentation, troubleshoot errors, and record lab conditions- Personal projects, such as report automation using SQL Server and Excel

- Collected, extracted, and cleaned 10,000+ data points across five projects- Performed visual and statistical analysis on data using UNIX, Git, SQL, Python, and their associated libraries and tools, such as Tensorflow, Keras, and scikit-learn- Built and implemented machine learning models and algorithms to evaluate data science problems spanning language recognition, data warehousing, and forecasting- Compiled and presented clear stakeholder reports with compelling narratives every 4 weeks using data visualization to communicate the nuances of analyses

Vanderbilt Institute for Integrative Biosystems Research and Education (VIIBRE)- Tested airflow through microfluidics device to create ideal microenvironment; captured images and analyzed device using QCapture and ImageJ- Presented statistical analysis of 300+ data points performed in Excel of ImageJ processing to judges and guests at a symposium

- Extensive literature review of alternative medicine to further the development of ASHMI and FAHF-2 as asthma and food allergy treatments for FDA approval- Performed statistical analysis using MATLAB on cell culture IgE levels after dosing with extracted compounds, generally including nearly 400 data points- Presented results and two publication submissions during judged symposiums, to coworkers, and to investors