Patrick Kelly Email & Phone Number

Ashburn, Va, Us

Ashburn, Va

▪ Utilize SAS and Python to analyze personnel and military EHR systems across all service branches, identifying patterns, trends, and significant differences among service member communities, geographic locations, and demographic data to establish historical healthcare utilization rates and predict future encounter counts, improving healthcare delivery times and enhancing overall Navy and Marine Corps readiness▪Conduct advanced medical system research using Python, SAS, and SQL to create data-driven visuals in PowerPoint, Tableau, and Qlik, informing on healthcare access, readiness, and strategies to improve care timelines, reduce cancellations and no-show appointments, and enhance warfighter readiness across the Navy and Marine Corps▪ Collaborate with cross-functional government teams within Navy medicine and senior military leadership using agile systems to track efficient workflows, identifying and meeting client needs to ensure alignment of multiple on-going projects and processes with Navy Medicine’s strategic goals

▪ Analyzed and identified local/regional population health, market share, and demographic trends to craft data driven narratives influencing physician placement, system growth and new strategic system initiatives.▪ Consulted, maintained relationships with internal health science groups and university leadership to understand needs and assist in implementing data driven methods to improve efficiency and create strategic growth.▪ Managed large-scale data projects involving healthcare claims, ICD/HCPCS codes, EHR, and financial data. ▪ Oversaw data quality and integrity, ensured compliance with regulatory requirements, and worked closely with internal clients to deliver timely and accurate products

Provo, Utah Area

▪ Extract, organize, and analyze data from U.S. General Pay Schedule using Adobe Acrobat and Excel, VBA.▪ Infer and predict from Federal and Private-Sector pay differences in major metropolitan areas Excel, VBA, R, and Tableau. ▪ Use machine learning to explore data and create predictive models with Python.

▪ Represent the University, alongside its leaders, at various campus or community events, dinners, or conferences. ▪ Lead campus tours for guests, alumni, and various VIP visiting the University in both English and Spanish. ▪ Increased key metric from 291 to 320 through creation of daily accountability programs for employees. Assist and guide the training process of new employees.

▪ Intern tasked with data-driven models to measure and improve fan experience.