A Few Professional Accomplishments
- EHS Audit Management: Built an end-to-end safety audit management solution using 20+ Power Platform components, including Power Apps, Power Automate, and Power BI, automating the audit process from initiation through reporting.
- Performance Review Automation: Automated 200+ Microsoft Word performance-review forms using Python, substantially reducing the manual effort required for entering information into annual employee review documents.
- Access Review Automation: Built a Python-based workflow that automated file organization and Excel calculations across 400+ files, saving approximately two weeks of work every quarter, reducing task completion time to approximately 2 minutes.
- QA/QC Inspection Analytics: Built and deployed a Power Platform solution supporting daily QA/QC inspection operations across approximately 9 inspection categories. Developed 12+ Power BI reports using advanced analytics and DAX to automate reporting, surface operational insights, and support ongoing decision-making.
Selected Projects
STATISTICAL MODELING
Structural Equation Modeling
An applied exploration of structural equation modeling, including model structure, assumptions, data requirements, and interpretation of relationships among variables.
Methods & tools: structural equation modeling, statistical analysis
BUSINESS ANALYTICS
Supply Chain Analytics
Applied analytics combining geographic visualization, cohort analysis, RFM analysis, and K-means clustering to understand customers, locations, and supplier opportunities.
Methods & tools: Python, clustering, customer analytics, visualization
PROBABILISTIC MODELING
Bayesian Network Modeling
A Bayesian network built in R to reason about the likelihood of possible clinical conditions from observed infant clinical presentations.
Methods & tools: R, Bayesian networks, probabilistic modeling
PREDICTIVE MACHINE LEARNING
Machine Learning for Heart Failure and Diabetes
A comparative machine-learning analysis focused on predicting death events from clinical data and evaluating different modeling approaches.
Methods & tools: machine learning, predictive modeling, model comparison
UNSUPERVISED MACHINE LEARNING
NCI Microarray Analysis
High-dimensional gene-expression analysis using dimensionality reduction and multiple unsupervised learning approaches to identify structure in cancer cell-line data.
Methods & tools: PCA, self-organizing maps, hierarchical clustering, R
APPLIED STATISTICAL MODELING
Predicting Employee Engagement and Satisfaction with Transformational Leadership
An original analysis examining employee engagement and employee satisfaction in relation to transformational leadership, demonstrating independent research question development, statistical analysis, and interpretation.
Methods & tools: statistical modeling, research design, quantitative analysis
*This is a small sample of my work.