Projects
A curated set of technical projects across data science, security, and web development. Each one comes with a short write-up focused on why it mattered and what I learned.
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Predicting Housing Prices
Built a web scraper with Python and BeautifulSoup to collect housing data from Redfin, then used linear and ridge regression to predict home prices. Ridge regression with log-transformed price achieved an adjusted R² of 0.946.
Python Web Scraping Ridge Regression Pandas BeautifulSoupRead more -
Classifying Suspicious Logins
Built a logistic regression classifier to detect malicious login attempts using features available at authentication time. Tuned the model for higher recall at a small cost to precision, then designed a tiered threshold system for auth decisions.
Python Logistic Regression sklearn CybersecurityRead more -
Credit Card Fraud Detection
Tackled fraud detection in a highly imbalanced dataset where only 0.4% of transactions were fraudulent. Improved recall from 0% to 75% by applying class weighting to penalize missed fraud.
Python Logistic Regression Class Imbalance SMOTE sklearnRead more -
Local Restaurant Web Design & Email Campaigns
Designed and built a website for Casa del Pollo and a cloud-hosted email campaign tool so the owner can send newsletters and promotions from anywhere, with deliverability best practices built in.
HTML CSS Web Design Email Flask PythonRead more