Master's Student, MSBA
Data Analytics Professional | R, SQL, Python & Data Visualization Expert
Andrew Holland is a results-driven Business Analytics candidate with demonstrated expertise in data analysis, financial modeling, and process optimization. Currently pursuing a Master's in Business Analytics at the University of Arizona (expected May 2026), Andrew brings proven ability to translate complex data into actionable insights and strategic recommendations.
With experience as a Forensic Accounting intern at HKA, Andrew has designed comprehensive financial models supporting expert testimonies, performed quantitative research for strategic industry briefs, and built predictive models using advanced statistical techniques. Passionate about delivering high-impact solutions through cross-functional collaboration and advanced analytical methodologies.
Developed a machine learning classifier using the UCI Adult Data Set to predict income levels based on demographic factors. Implemented multiple algorithms including decision trees and logistic regression, achieving significant predictive accuracy for income classification.
Conducted econometric analysis estimating the treatment effect of minimum wage increases on employment levels. Applied advanced causal inference techniques and difference-in-differences methodology to isolate policy impacts from confounding variables.
Comprehensive business analytics project demonstrating expertise in data management, ETL processes, and analytical reporting. Developed solutions for complex business intelligence scenarios with focus on scalability and performance optimization.
Applied advanced statistical and analytical methods to economic research questions. Utilized regression analysis, hypothesis testing, and statistical modeling to derive meaningful insights from complex economic datasets.