Just chasing the wind...
Welcome. Thanks for dropping by. Check out the rest of the site for my projects and more!
Check out some of my favorite projects below.
A playful and interactive platform where users can chat with a friendly AI chatbot, enjoy some tunes, or explore educational content. Built with HTML, CSS, and JavaScript for a dynamic frontend, and powered by Python with Flask and Hugging Face Transformers for the chatbot backend.
**View on GitHub**Built ML models (Random Forest, XGBoost, LightGBM, Neural Networks) to detect cyber-attacks using UNSW-NB15. Compared precision/recall to reduce false positives, addressed class imbalance, and focused on feature engineering.
**View on GitHub**Time-series analysis of genres, NLP-based exploration of reviews, K-means clustering to identify market segments, and regression modeling to link user ratings with reviews and pricing.
**View on GitHub**Explored leadership-level diversity (ethnicity, gender, age) and network centrality metrics for 1,500 firms (15 years), correlating them with stock returns. Data from ISS, CRSP, and COMPUSTAT.
**View on GitHub**Predicts house prices by stacking models (LightGBM, XGBoost, Gradient Boosting, Random Forest, CatBoost). Demonstrates data preprocessing, feature engineering, hyperparameter tuning, and ensemble learning.
**View on GitHub**Investigated relationships between investment, capital structure, and firm performance via panel data. Employed winsorization and regressions with lag/lead variables, ensuring robustness with the Wooldridge Exogeneity Test.
**View on GitHub**Built a website and online storefront for a printing shop in the Bay Area. Fully integrated with the stores point of sale and administrative systems.
**View Website**Designed and implemented a linear programming solution using Gurobi to efficiently solve standard and variant Sudoku puzzles, including 3D, diagonal, and Killer Sudoku, by developing optimization models with complex constraints.
**View on GitHub**Used PCA on college (CBA) player stats to see correlation with NBA scoring. Spearman/Pearson tests showed statistically significant relationships, albeit low-level correlations.
**View on GitHub**Optimized a $5 million ad budget using linear programming. Devised a demand management model for popular beverages, balancing raw material costs, spoilage, and profit.
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Work Experience: My journey includes roles at Vanguard and Lifo.ai, where I've tackled financial models, data analytics strategies, and helped streamline business development.
SPI Energy: Delved into cryptocurrency miner solutions, aiding strategic decision-making with data analysis. Learned about the evolving energy market and blockchain tech.
Favorite Reads: "There Is No Antimemetics Division," "Hitchhiker’s Guide to the Galaxy," and "Strangers from a Different Shore" fuel my imagination and expand my worldview.
Gaming Interests: Whether battling in Elden Ring, building empires in Civilization VI, or theorycrafting in Path of Exile, gaming is a creative outlet that challenges my strategic thinking.
Volunteering: At Berkeley’s Community Garden, I’ve done everything from mulching to planting. It’s a hands-on way to give back and cultivate green spaces.
Academic Achievements: Santa Clara University (Business Analytics), UC Berkeley (Cognitive Science), UC Berkeley ML & AI Certificate.
Tennis Passion: I've played tennis my whole life and still train regularly. It's taught me discipline, strategy, and the value of continuous improvement.
Music & Production: After a lifetime of playing piano and guitar, I dove into music production. I love experimenting with beats and melodies—peek the SoundCloud link in the corner!
My thoughts on anything...