Hi, I’m Joseph

Welcome to my website!

About Me

joseph-photo.png

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

Hacker News Engagement

Tech Stack:

Analyze Hacker News data to reveal which post types and posting hours spark the most discussion, using Python and a reproducible Jupyter notebook.

Demo 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

Git Repo Migrator

Tech Stack:

Git Repo Migrator automates the migration of locally saved git repositories by updating remote configurations in bulk. Perfect for simplifying transitions between servers, it’s a lightweight, practical tool built for speed and efficiency.

Source Code

Profitable App Profiles

Tech Stack:

This project analyzes mobile app data to identify trends in user engagement and profitability. Using Python and Jupyter, I explore features of top-performing apps and offer data-driven insights to guide development decisions for ad-supported mobile apps.

Demo Source Code

Vacation Selector

Tech Stack:

This program is designed for users who want to go on a vacation, have several places they would like to visit, but are indecisive of where they should travel to next. The user will provide the name of cities they would like to visit. Then, the program will randomly select a city from a list of all the user-entered cities.

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.