Programming Languages
Skilled in Python and SQL for data analysis, predictive modeling, and visualization, complemented by R for advanced statistical methods. Background in Java strengthens foundation in algorithms and complex problem-solving.
Odin Lee
St. Paul, Minnesota
Graduate Data Scientist
"Turning complex data into actionable insights"
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/Power BI, I enjoy transforming complex datasets into clear, actionable insights that drive meaningful outcomes.
Education
University of St. Thomas
MS, Data Science In Progress
Sep 2024 – Aug 2026
Augsburg University
BS, Data Science Graduated
Jan 2019 – May 2024
Projects
Snowflake Basketball Data Warehouse
- Snowflake
- SQL
- Data Warehousing
- ELT Pipelines
Snowflake based data warehousing project transforming OPTA basketball data into an analytics ready model.
- Designing curated dimension and fact tables in Snowflake SQL
- Enriching game data with scoring metrics and win classifications
- Building aggregated analytics for team, venue, and season scoring trends
- Automating weekly processing with Snowflake tasks and procedures
Airbnb New York City Analysis
- Tableau
- Excel
- Data Cleaning
- Data Visualization
Comprehensive data analysis and visualization project examining Airbnb rental trends across New York City (2008–2022).
- Cleaned and prepared a dataset of ~190K listings for accurate analysis
- Developed an interactive Tableau dashboard for dynamic insights
- Explored borough-level distribution, pricing trends, and host behavior
- Produced detailed documentation and a video presentation of findings
Fantasy Football Analysis Database
- SQL
- R
- Data Wrangling
- Data Analysis
Structured SQL database built for fantasy football analysis, featuring cleaned data from 2021–2023 NFL seasons.
- Normalized schemas for efficient querying
- Data wrangling and transformation with R
- SQL triggers to ensure data integrity
- Optimized for future dashboard integration
Portfolio Website
- HTML
- CSS
- JavaScript
- Jekyll
Personal data science portfolio website showcasing projects, skills, and background information with an interactive design.
- Profile header with headshot, name, and key links
- Interactive projects carousel showcasing Data Science work
- Education and skills sections clearly displayed
- Responsive, accessible layout built for scalability
Skills
Tools & Technologies
Experienced in building interactive dashboards with Tableau/ Power BI, and managing databases using Oracle SQL Developer, with additional data-warehousing experience in Snowflake. Skilled in performing in-depth data analyses with Jupyter Notebooks and RStudio, leveraging GitHub and AWS (EC2 and S3) for collaboration, scalability, and cloud deployment.
Frameworks & Libraries
Proficient in Python libraries (pandas, NumPy, Matplotlib, Seaborn, Plotly) for data wrangling and visualization, and in R packages (dplyr, ggplot2, Shiny) for data manipulation and interactive applications. Proficient in creating reproducible reports with Quarto.
Data Science Skills
Expertise in data wrangling, exploratory data analysis (EDA) , and statistical modeling, complemented by strong skills in data visualization and deploying cloud-based solutions.