Technologies Used: Python, Pandas, NumPy, scikit-learn, NMF, Matplotlib

Used Python, Pandas, and NMF to analyze 345,000+ MLB at-bats and identify swing style clusters. Developed custom metrics for swing speed and length and built visualizations to highlight differences between contact and power hitters. This work emphasized the value of unsupervised learning for pattern detection in high-dimensional sports data.

Technologies Used: Python, NetworkX, Matplotlib, Pandas

Analyzed Facebook ego networks using Stanford's dataset to reveal how geography and personal attributes shape social group formation. Built interactive network graphs and heatmaps to visualize patterns in social clustering. Found that geographic proximity—like hometown, locale, and location—was the most consistent factor in community structure.

Technologies Used: Python, pandas, BeautifulSoup, requests, Altair

Analyzed food price data, GDP (PPP), and obesity rates across 90+ countries to explore how affordability influences public health. Found that cheaper fast food relative to income strongly correlates with higher obesity rates, while grocery staples showed weaker links.

Technologies Used: Python, Tableau, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Geopy, CensusGeocode

Used Python to geocode U.S. locations and enrich them with Census demographic data. Combined tools like Geopy and the Census Geocoder API to convert place names to coordinates, then mapped trends with Pandas, Seaborn, and Plotly. Enabled visualization of geographic patterns between climate change/pollution and income, education, and population across neighborhoods.

Milk and Honey (SaaS)

Technologies Used: React, TypeScript, Firebase, Tailwind CSS

Led frontend development for a restaurant SaaS platform. Built a React-based ordering interface that streamlined real-time menu updates and improved customer wait times. Integrated Firebase for backend operations, authentication, and live sync. Collaborated with a team to design UI flows and resolve performance bottlenecks.

Drum Beat VR

Technologies Used: Unity, C#, Oculus Integration SDK

Built a virtual reality rhythm game using Unity and C# for Oculus Quest 2. Developed precise hit detection and controller-based input mechanics. Focused on immersive sound design and rhythmic feedback to enhance the player's sensory engagement. The project highlights cross-disciplinary experience in real-time interaction and game development.