Hi, I’m Joseph

Welcome to my website!

About Me

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I’m a Data Science graduate student based in Dallas, Texas. My background is in web development and UX design, but my passion for problem-solving and analytics led me to data science. I enjoy using data to uncover insights, answer questions, and build meaningful solutions.

  • Data Science & Analytics: Finding patterns in data and translating them into actionable insights.

  • Machine Learning & AI: Exploring predictive models and automation.

  • Self-Hosting & FOSS: Experimenting with open-source software and managing my home server.

When I’m not coding or analyzing data, you’ll likely find me roller skating, kayaking, or traveling to new places. I also enjoy working on personal projects and contributing to open-source initiatives.

For more about my work, check out my projects or my blog. Feel free to connect with me on LinkedIn or reach out if you’d like to collaborate!

Projects

Infrastructure Service Requests and Crime Patterns in Dallas

Tech Stack:

An analysis examining the relationship between infrastructure-related 311 service requests and crime patterns across Dallas council districts (2023-2024).

Source Code

Cardiovascular Disease Prediction Using Machine Learning

Tech Stack:

Developed classification models to predict cardiovascular disease in patients using supervised learning techniques.

Source Code

Arbor Foods Trading Co.

Tech Stack:

PostgreSQL data analysis project featuring CTEs, window functions, and Jupyter integration. Includes Docker setup, SQL dump, and a live Binder demo using SQLite.

Demo Source Code

Model Car Sales with SQL

Tech Stack:

Analyze sales data from a scale model car business to uncover insights on customer behavior and product performance using SQL and Jupyter Notebook.

Demo Source Code
See All Projects

Contact

Have a project idea, a question, or just want to chat about data science? I’m always open to collaborating, exchanging ideas, or discussing interesting tech.