Hi, I’m Ben Zazycki. I’m seeking internship opportunities for Summer 2026 in data science or software engineering, where I can apply my data analysis and software development skills to contribute to impactful projects.

Selected Projects

• Bioinformatics R/Python Pipeline
• Full-Stack Chatbot Application
• Medical Billing Data Analysis

See "Projects" tab for more detail.

Bioinformatics R/Python Pipeline

Professor Chun Liang in Miami’s biology department has been mentoring me through an ongoing bioinformatics project. I am adapting and reimagining a pipeline originally developed by one of his graduate students, with the goal of aligning it to published “best practices” in single-cell RNA sequence analysis..

This project has helped me strengthen core data science skills, including writing high-quality code in R and Python, thorough data cleaning and preprocessing, exploratory data analysis, quality control, and reproducible pipeline design. Over the course of the work, I’ve become a more confident and capable data scientist.

My collaboration with Dr. Liang began in Spring 2025, supported by the Miami University Hughes Scholarship Program. We are working toward a publication (timeline TBD). Eventually, our focus will shift from QC to downstream analysis, especially clustering with both traditional and machine learning–based methods.

Click here to see the GitHub repository.

Full-Stack AI Chatbot Application

In January 2025, I served as co–project manager of a 9-person team in a senior capstone design project. Our goal was to create a kiosk app for a homeless shelter, enabling staff to provide resources and guidance quickly to patrons. We built a full-stack application with an Android frontend (Java/Gradle) and a Python backend that queried the ChatGPT API with tailored context and resource information.

As co-PM, I contributed to all aspects of development and maintained a top-down perspective of the project. This role gave me hands-on experience with frontend development, backend development, server administration, API integration, and technical leadership.

The project was completed during a two-week Miami University study abroad program in Manchester, England, under the guidance of Dr. Kurt Johnson.

Click here to see the GitHub repository.

Medical Billing Data Analysis

In Summer 2024, I worked as a data analysis intern at Spirit Emergency Medical Transport in Greenville, Ohio. The company had significant unpaid invoices, and my role—alongside another intern—was to analyze billing data and recommend collection strategies.

We designed workflows to extract data from their billing system, organize it into structured spreadsheets, and identify key trends. Our recommendations guided management on which accounts were worth pursuing, which should be sent to external collections, and which were not financially viable to chase.

Over three months, I was directly responsible for $300,000 in remitted payments. This experience strengthened my ability to align technical work with business goals, communicate findings effectively, adapt to shifting requirements, and reconcile data from multiple sources.