Skills
AI & Automation Tools: Claude (Anthropic), ChatGPT, GitHub Copilot, AI-assisted data analysis & workflow automation, Prompt Engineering
Languages & Querying: SQL, Python (Pandas, NumPy, Matplotlib, Seaborn)
Cloud & Infrastructure: AWS (hands-on), Azure, CRM Platforms, Database Management Systems
Data & Reporting: Microsoft Excel (Advanced pivot tables, VLOOKUP, data validation), Microsoft Office Suite
Enterprise Systems: Genesis, Elevate, Cloud-Based Claims & Case Management Systems
Core Competencies: AI-Augmented Workflow Design, Data Validation, Process Automation, Compliance Reporting,
About
Operations and data professional with 12+ years of progressive experience spanning U.S. Army service, public health administration, insurance operations, and senior-level healthcare member engagement now transitioning that foundation into data analysis, IT operations, or information security.
Military Leadership & Operational Discipline
As a U.S. Army Team Leader, developed the leadership instincts, accountability standards, and mission-execution mindset that define high-performance technical teams. Directed a 4–6-person team under high-stakes, time-critical conditions managing personnel accountability, equipment readiness, and real time decision-making with zero discrepancies across all inspection cycles. This military foundation instilled a culture of precision, ownership, and data integrity that carries directly into every professional environment.
Healthcare Operations & Senior Hands On Experience
Brings extensive hands-on experience across senior healthcare roles from frontline public health data operations during COVID-19 to senior member engagement for veteran and high-risk Medicare Advantage populations. Consistently maintained 98–100% data accuracy across enterprise platforms while managing 100–200+ daily interactions, coordinating with providers and case managers, and surfacing actionable SDOH insights that drove care plan execution. Recovered 00K+ in insurance subrogation through rigorous data auditing, and contributed directly to state level public health decision making through accurate real time data capture.
Now applying this cross-sector depth alongside proficiency in SQL, Python (Pandas, NumPy, Matplotlib), AWS, and Azure to build a career at the intersection of data, technology, and healthcare systems.
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