About Me

I’m Odin Lee, a data scientist from St. Paul, Minnesota, with a strong academic background and a passion for turning data into insight.

I’m currently pursuing a Master of Science degree in Data Science at the University of St. Thomas, building on my Bachelor’s degree in Data Science from Augsburg University. Throughout my academic journey, I’ve gained hands-on experience in data analytics, statistical modeling, and programming.

Skilled in Python, SQL, R, Java, and Tableau, I enjoy transforming complex datasets into clear, actionable insights that drive meaningful outcomes.

Education

University of St. Thomas

MS, Data Science
Sep 2024 – May 2026

Augsburg University

BS, Data Science
Jan 2019 – May 2024

Projects

Fantasy Football Analysis Database

• SQL
• R

A structured database for fantasy football analytics using cleaned NFL data (2021–2023).

• Normalized schemas for efficient querying
• Data wrangling and transformation with R
• SQL triggers to ensure data integrity
• Optimized for future dashboard integration

Weather Wizard

• Python
• Flask
• OpenWeather API

A web app delivering hyperlocal weather forecasts with real-time data visualization.

• Integrated OpenWeatherMap API for up-to-minute data
• Interactive charts for temperature & precipitation
• Customizable location tracking
• Responsive design for mobile and desktop

Crypto Tracker Pro

• React
• Node.js
• CoinGecko API

A portfolio management tool for cryptocurrency traders.

• Live price updates from multiple exchanges
• Custom alerts for price changes
• Portfolio performance tracking
• Dark mode and data export options

Recipe Rover

• JavaScript
• Vue.js
• Spoonacular API

A smart meal-planning web app that finds recipes based on ingredients you have.

• Ingredient-based recipe search
• Weekly meal planner with auto-shopping list
• Nutrition facts integration
• Save and share favorite recipes

Skills

Programming Languages

I primarily use Python, SQL, and R for data analysis, statistical modeling, and machine learning. Python is my main language for data wrangling, visualization, and predictive modeling, while R is often used for statistical analysis and advanced visualizations. I also have experience with Java from coursework in algorithms and data structures, giving me a strong foundation in computational problem-solving.

Tools/Technologies

I work with Tableau to design interactive dashboards and Oracle SQL Developer for database management and querying. My development workflow often takes place in Jupyter Notebook or RStudio, supported by Git/GitHub for version control. I also have experience with AWS services such as EC2 and S3 for deploying and managing cloud-based solutions.

Frameworks & Libraries

In Python, I frequently use pandas, NumPy, Matplotlib, Seaborn, and Plotly for data wrangling, visualization, and analysis. In R, I work with dplyr, ggplot2, and shiny for data manipulation, advanced visualizations, and building interactive applications. I also use Quarto for creating reproducible and well-documented data reports.

Data Science Skills

I am skilled in data wrangling and cleaning, exploratory data analysis, and statistical modeling to uncover and communicate insights. My work often involves data visualization, feature engineering, and database management and design. I also have experience implementing cloud-based data solutions and maintaining best practices for version control and collaboration.