I am a researcher with interdisciplinary training in accounting, business analytics, and information systems. My work examines the intersection of financial data integrity, database systems, and organizational decision-making—particularly in public sector and regulated environments.
My academic background spans accounting theory, quantitative methods, and applied database management. I hold an MBA in Business Intelligence and Business Analytics, a Graduate Certificate in Business Analytics and Artificial Intelligence, and a B.A. in Accounting. This combination allows me to approach research questions from both theoretical and technical perspectives.
Before focusing on research, I gained extensive practical experience in government finance, airport operations, and financial systems implementation. This professional background informs my research agenda and provides insight into real-world challenges facing organizations today.
My research interests center on the sociotechnical aspects of financial information systems:
My research draws on mixed methods, including:
Concentration in business intelligence, predictive analytics, data mining, and machine learning applications in business contexts. Thesis work focused on financial data systems and organizational decision-making.
Advanced coursework in machine learning, AI applications, Python programming, and statistical modeling for business analytics.
Foundation in accounting principles, financial reporting, auditing, and organizational finance.
My immediate research interests center on:
While I am primarily focused on research, I am deeply interested in teaching and knowledge transfer, particularly in making technical concepts accessible to diverse audiences.
Experience conducting internal workshops for accounting professionals on database fundamentals, SQL basics, and how to work effectively with technical teams.
My research agenda is informed by extensive professional experience in financial systems, database administration, and government operations:
Current work as a budget reviewer analyzing state financial systems, budget proposals, and resource allocation decisions. This role provides direct observation of government budgeting processes and financial planning challenges.
Experience managing financial data systems in government and airport operations contexts. This work provided direct observation of the challenges organizations face in maintaining data integrity across complex ERP and database environments.
Hands-on experience with SQL Server and PostgreSQL database management, including data architecture, optimization, and ensuring accuracy for financial reporting purposes.
Direct involvement in financial system implementations, integrations, and reporting automation projects, providing insight into sociotechnical challenges of organizational change.
This professional foundation enables practice-informed research that addresses real organizational challenges while maintaining scholarly rigor.