Completed as part of a team project, this database system was designed and implemented for a simulated online education marketplace. The team conducted requirements analysis, developed ER diagrams, performed schema normalization (3NF), and enforced primary and foreign key constraints.
The system was implemented using SQL and PL/SQL, including stored procedures, triggers, integrity constraints, and complex multi-table queries to ensure transactional consistency and data integrity.
U.S Flight Delay Prediction Using Supervised Machine Learning
Developed as part of a graduate team project, this study used U.S. Bureau of Transportation Statistics data to predict flight delay occurrence (>15 minutes) and delay duration.
The project included data preprocessing, feature engineering, and implementation of classification and regression models, including Logistic Regression, Random Forest, XGBoost, Ridge, LASSO, and Gradient Boosting with cross-validated hyperparameter tuning. SHAP analysis was applied to evaluate feature importance and model interpretability.
My contribution focused on the regression modeling pipeline, including cross-validated tuning, performance evaluation (MAE, RMSE, R²), and analysis of delay duration prediction. 👉 View Full Report (PDF)
Information Security Risk Management
Conducted a quantitative cybersecurity risk assessment using the FAIR (Factor Analysis of Information Risk) methodology. The analysis evaluated point-of-sale system exposure by estimating threat frequency, vulnerability, resistance strength, and financial loss magnitude to calculate annualized risk.
The project included structured risk modeling, financial impact estimation, and development of mitigation strategies such as point-to-point encryption (P2PE), monitoring controls, and formal incident response planning.
Everest: AI- Powered Student Support App (1st Place Pitch)
In Spring 2024, my team and I pitched the concept for Everest, an AI-powered mobile application designed to enhance the student experience by combining academic assistance with mental health support. Everest aimed to provide personalized schedules, study plans, and stress management tools to help students balance academic and social responsibilities. Our short film pitch highlighted the app’s unique AI-driven features, including adaptive learning and mental health resources. The compelling presentation earned us 1st place in the competition.