GA

Data Science Student

Gunnar Austin

I'm a data science student at Michigan State University. This portfolio highlights applied analytics, machine learning, SQL, and technical foundation work that is easy for recruiters to scan quickly.

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  • Programming and software development
  • SQL and data analysis
  • Machine learning and modeling

Applied analytics

Business focused case studies

Projects connect modeling and SQL work to churn, ridership, sales, and market analysis.

Technical range

Python, SQL, modeling

The portfolio combines data cleaning, visualization, machine learning, and software fundamentals.

Foundation

Tested implementation

Coursework in algorithms and data structures supports the applied analytics work elsewhere on the site.

Projects

Personal Projects

A selection of applied work in predictive modeling, SQL, data analysis, and business focused reporting. Each project has a short case study page and a direct repository link.

Machine Learning Case Study

Telco Customer Churn Prediction

Churn modeling case study that connects customer risk scores to retention actions and business impact.

  • Python
  • pandas
  • scikit learn
View case study View repository

Data Analysis and Modeling

NYC Taxi Demand and Rider Behavior Analysis

Transportation analytics case study on demand patterns, route concentration, fares, and model limits.

  • Jupyter
  • pandas
  • matplotlib
View case study View repository

Forecasting and Market Analysis

Global Housing Market Forecasting

Cross country housing analysis that compares pressure, affordability, and directional forecasts through 2035.

  • Python
  • NumPy
  • Matplotlib
View case study View repository

SQL and Sales Analysis

SQL Sales Analysis with Chinook

Business reporting project that turns transactional sales data into customer, market, and product insights.

  • SQL
  • SQLite
  • Data Analysis
View case study View repository

Coursework

Selected Academic Work

Coursework is included as supporting evidence, especially where it strengthens analytics, data science, and technical problem solving.

Course Report

CSE 331 Class Report

Algorithms and data structures coursework framed as technical foundation for applied analytics work, not as a homework archive.

  • Python
  • Data Structures
  • Unit Testing
View report View repository

Core Focus Areas

Software Development Python, C++, structured problem solving, and implementation focused coursework.
Data Analysis SQL querying, data cleaning, exploratory analysis, visualization, and practical interpretation of results.
Machine Learning Feature engineering, statistical modeling, model evaluation, and applied predictive work.

Contact

Let's connect

I'm interested in internships, collaborative projects, and entry level opportunities in software development, data analysis, and machine learning. If my work aligns with what you're building, I'd be glad to connect.

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