Design, refine, and implement production-ready Power BI dashboards to support data-driven decision-making across the enterprise Internal Audit function. Pioneer departmental use of transformer-based large language models for topic modeling with the BERTopic approach in Python. Demonstrate rapid adaptation to new technologies and subject matter. Provide technical contributions to future use of AI solutions to meet departmental objectives.

Oversaw and managed all operations of tree service and land development with more than 20 years of industry experience. Provided services to commercial, municipal, and residential customers in Mississippi and Tennessee. Generated > $200,000 in annual revenue since business inception.

Built integrated suite of visually compelling dashboards assessing the financial and academic merits of 90+ academic programs across 39 performance indicators. Interfaced extensively with Provost, College Deans, and other C-level personnel to identify business needs and develop high-impact solutions leveraging R, Tableau, Tableau Server, MS SQL Server, SharePoint, Excel, EndNote, Canvas, and Banner. Technical expert member of 3 committees for institutional assessment, accreditation, and data quality. Identified and resolved issuance of incorrect degree. ➤ Developed, validated, and deployed the Academic Program Health (APH) Dashboard, a standardized GUI-driven hierarchical suite of data visualizations that became the core component and consistent method of evaluating the success, issues, and effectiveness of all academic majors- Deployed hundreds of lines of T-SQL to production in enterprise data warehouse (EDW) resulting in 15 novel data sources to support APH Tool- Visiting consulting firm pitched their analogous tool in production internationally, university CTO presented my solution with superior data granularity; invited to interview with consulting firm➤ As Enterprise Tableau Server Administrator, developed performance-scoring tool to compare the quality of 90+ programs based on financial and academic metrics, which was adopted by a Board Member for implementation at Microsoft.

Co-authored 17 presentations using Bayesian and frequentist techniques at national and international conferences including the Joint Statistical Meetings (JSM) and Modern Modeling Methods (M3) Conference. ➤ Co-authored award-winning Markov Chain Monte Carlo simulation study via supercomputer that evaluated the sufficiency of recommendations for auxiliary variable inclusion in multiple imputation. ➤ Sole author of national paper presentation examining teacher effectiveness via Bayesian regularized machine-learning models. Co-authored paper evaluating Bayesian hierarchical models with small cluster size.➤ Led team of 5 in redeveloping data analysis & validation scripts for 30+ hazardous worker training programs, rewrote scripts for each that improved report quality while reducing the timeframe to produce reports by 50%.

➤ Developed content expertise in cardiovascular psychophysiology and piezoresistive accelerometry for human participant research.➤ Captured, programmatically cleaned / prepared, analyzed, and presented results from more than 20 million participant activity records.