Take a look at the projects I have completed:
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Visualizations of the MBTA
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Multi-year personal budget
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Real Time Strategy Gaming Platform
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AI powered menu analyzer
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ML Analysis of Big Mac prices to statewide obesity.
I really enjoy data science as you use data to tell a story. My mind thinks in a way that makes it very fun for me to play with data and spreadsheets.
Languages:
Python, SQL, JavaScript, TypeScript, HTML/CSS, C#, Java
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Data Science & Analytics:
Pandas, Scikit-learn, NumPy, Matplotlib, Seaborn, Plotly, Altair, GeoPandas, NetworkX
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Data & Development Tools: Git/GitHub, MongoDB, MySQL, SQLite, Snowflake, ArcGIS, Apache Spark, Tableau, Firebase, Excel, D3.js
MBTA Ridership Insight Website
Oct. 2025
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Developed an interactive web application analyzing MBTA ridership trends exploring temporal patterns in Boston's transit system​
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Built a multi-technology pipeline using Python (Matplotlib, Altair) and D3.js for visualizations, integrated into a custom HTML/CSS/JavaScript frontend
Personal Budget Tracking System
Sept. 2021 - Present
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Created a multi-year budget tracking system in Google Sheets with automated data aggregation, with over 4 years of financial transactions
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Designed a hierarchical categorization structure using topics and subtopics, with formulas that automatically populate summary tables and calculate running totals for each category
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Analyzed spending data using SQL queries to identify spending habits and generate predictions for future expenses
Strategy.town Gaming Platform
June 2025
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Built full-stack TypeScript application with multiplayer games, real-time forum using WebSockets, and Firebase authentication
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Implemented user customization features with MongoDB persistence including theme switching and post history tracking
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Delivered features through agile sprints in 4-person collaborative team
Big Mac Price Obesity Analysis
May 2024
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Analyzed the relationship between Big Mac prices and state obesity rates, collecting data through web scraping from multiple sources
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Built an AI machine learning model using scikit-learn to analyze the relationship between Big Mac prices and state obesity rates
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Validated model assumptions through residual analysis and Q-Q plots, demonstrating that Big Mac prices explain 45.7% of variance in state obesity rates
Menu Analysis
Database System
Dec. 2024
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Built an ETL pipeline that uses AI APIs to extract structured data from PDF menus and loads it into a relational database​
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Designed an ER diagram modeling restaurants, menu items, categories, and dietary restrictions to enable complex filtering queries​
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Implemented full-text search across menu descriptions and ingredients for efficient data retrieval and analysis