About Me

I’m a graduate student in data science with a background in software engineering and strong interests in machine learning, backend development, and computational research.

My work has included building full-stack web applications, developing backend systems, working with relational databases, and analyzing large datasets using tools such as Python, PySpark, Pandas, PostgreSQL, and TypeScript.

I’m especially interested in research-oriented technology, including machine learning, quantum computing, astrophysics, big data analytics, and distributed systems. I’m currently seeking opportunities in data science, machine learning, backend development, and research-oriented engineering roles.

Relevant Skills

My technical background combines data science, backend development, database systems, and machine learning.

  • Python, Java, JavaScript/TypeScript, SQL, C++
  • PostgreSQL, Oracle SQL, Database Management
  • Data Analysis, Regression, Prediction, Statistics
  • Machine Learning, Recommendation Systems, Cosine Similarity
  • Node.js, Express, Backend APIs, Server-Side Development
  • PySpark, Big Data Modeling, Vercel Deployment

Featured Projects

Geographic Recommendation Engine

Built a machine learning recommendation engine using a 542,000-row online retail dataset to test whether customers from similar geographic regions purchase similar products. The model used Python, Pandas, PySpark, and cosine similarity to recommend products based on purchasing patterns. The results supported the hypothesis that geographic data can improve product recommendations, with recommended products showing strong similarity across European purchasing regions.

Check out the code!

AllEvently

Developed the server-side functionality for a full-stack event management platform that allowed users to create events, manage guest lists, invite attendees, and log in through both platform accounts and Google authentication. I worked primarily with TypeScript, Node.js, Express, PostgreSQL, Vue, and Vercel, focusing on backend functions, authentication, account creation, database communication, and deployment troubleshooting.

Check out the code!

Big Data Modeling Coursework

Completed graduate-level big data modeling work involving large-scale data cleaning, analysis, prediction, regression, and machine learning workflows using Spark and Python-based data tools. This coursework strengthened my interest in data science research, machine learning, and large-scale analytical systems.

Check out one of my machine learning projects!

Contact Me

spensermorey@gmail.com