Utilizing statistics and analytics to optimize safety and performance within SkyWest's AQP program:-Used Tableau to build fully interactive and insightful dashboards to inform fleet managers on the performance of their training curriculums.-Used R to create an explanatory machine learning model that shows how a student pilot's past aviation experience will affect their performance in our initial curriculum.-Utilized the text analytic methods of term frequency and n-grams on instructor task notes to reveal where students struggle.-Created statistical metrics to analyze, identify, and track instructor calibration amongst instructor groups.-Used R to perform ad hoc analyses to identify areas of improvement and suggest analytic driven solutions to make amendments to training curriculums.-Summarized student performance into a report that is presented to the FAA quarterly.

Tasked with delivering a machine learning model that would predict turnaround times for pathology tests. Also delivered a written report and oral presentation to ARUP's Data Science team and executives outlining our process and highlighting key insights made through our analysis.

Managed daily operations of the pro shop including scheduling tee times, accepting payment, and directing golfers to the tee. Maintained smooth flow of golfers throughout the course. Assisted with hosting corporate golf tournaments. Organized and displayed pro shop merchandise.