What I've built.
Hospitality Analytics Platform
GFG Holdings · 2025–Present
Designed and built a multi-platform data aggregation system ingesting 1,600+ data points weekly from 14 enterprise hotels. Integrated Google Maps, TripAdvisor, Expedia, and Booking.com APIs into a centralized PostgreSQL database using n8n workflows with custom JavaScript automation.
- Engineered 40+ automated workflows replacing 20+ hours of manual weekly work
- Built sentiment classification engine with 6-category, 28-subcategory taxonomy
- Processed 350,000+ review segments using sentence-level boundary parsing
- Designed custom HTML/PDF dashboards feeding Power BI visualizations
- Executed data migration from legacy Excel systems to PostgreSQL
NBA 3-PT Shot ML Model
DS 3000 · Fall 2025
Group project with Joshua Chan, Jonathan Barrientos & Itai Schwarz
A machine learning class project analyzing 45 years of NBA data to investigate the relationship between 3-point shooting and offensive efficiency. Using the NBA API, we built and compared multiple regression models — linear, polynomial, and multi-variable — targeting offensive rating as the outcome variable. The results showed that 3-point efficiency is a stronger predictor than volume, with our best model achieving an R² of 0.654 and MSE of 7.773.
- Pulled and processed 45 years of historical NBA data via nba_api
- Built and compared 4 regression models across efficiency and volume metrics
- Best model: R² of 0.654, MSE of 7.773
- Findings suggest 3PT efficiency matters more than attempts for offensive output
College ROI Predictor
Personal Project · 2025
A personal project building two Random Forest regression models to predict graduate earnings and return on investment across 1,000+ U.S. universities using the Department of Education College Scorecard API. The ROI model performed significantly stronger than the earnings model, achieving an R² of 0.875, with cost-based features far outweighing prestige metrics as predictors. Also my first time building a front end to present results.
- Built two separate models: earnings prediction (R² 0.458) and ROI prediction (R² 0.875)
- Cost and tuition variables outperformed selectivity and prestige as ROI predictors
- Data sourced from College Scorecard API across 1,000+ institutions
- First personal project with a front end to display results
What Impact Can Financial Engineering Have On Hastening The Transition To Sustainable Energy?
Journal of Student Research · Published Nov 2023
Co-authored with Prof. Samuel Montañez, Universidad Panamericana
Peer-reviewed research examining how financial engineering can accelerate the global transition to sustainable energy. Analyzed the $2+ trillion green bond market across 65+ countries, with a comparative case study of Mexico's energy policy shifts from 2011 to 2023, demonstrating a strong correlation between market liberalization and green bond issuance growth.
- Quantitative analysis of global green bond issuance trends across 65+ countries
- Case study of Mexico's energy policy shifts (2011–2023)
- Demonstrated 81% higher green bond issuances following market liberalization
- DOI: 10.47611/jsrhs.v12i4.5445 · 2 citations