At United Airlines, I developed a daily-updating aircraft planning dashboard using Foundry and Power BI, integrating historical and forecasted fleet data to support capacity planning and identify over-scheduling. I also created a short-delay station performance dashboard to show delay root causes and opportunities to improve on-time performance.
At the Loyola Lab of Applied Machine Learning, I collaborated with researchers to fine-tune a SciBERT model to identify potentially fraudulent academic publications, achieving 86% accuracy. I also preprocessed datasets, validated model performance, and designed Tableau dashboards to explain paper-mill publications and their effects on research integrity.
