I'm a Data Science undergraduate at the University of Wisconsin–Madison, pursuing a Certificate in Digital Media Analytics.
I enjoy using data to understand business problems, customer behavior, market opportunities, and operational trends. My projects focus on building end-to-end analytical workflows using Python, SQL, statistical modeling, machine learning, and data visualization.
- Data Analytics
- Business Intelligence
- Product & Customer Analytics
- Marketing Analytics
- Market Research & Strategy
Programming: Python, SQL, R, Java Data Analysis: pandas, NumPy, exploratory data analysis, data cleaning, feature engineering Databases: Google BigQuery, SQLite, relational database design, CTEs, window functions, views Machine Learning & Statistics: scikit-learn, statsmodels, classification, regression, hypothesis testing, model evaluation Visualization & Dashboards: Plotly, Matplotlib, Streamlit Data Collection & Processing: REST APIs, JSON, CSV, Parquet, multi-source data integration Tools: Jupyter Notebook, Git, GitHub, Microsoft Excel
End-to-end digital commerce analytics project using Google BigQuery SQL and Python to analyze customer acquisition, funnel conversion, retention, lifecycle behavior, and repeat purchases.
- Reconstructed the e-commerce funnel from session-level behavioral data
- Analyzed acquisition channels, customer cohorts, retention, and lifecycle segments
- Built Logistic Regression and Random Forest models to predict 30-day repeat purchases
- Evaluated imbalanced classification performance using ROC-AUC, PR-AUC, and feature importance
End-to-end market intelligence platform combining U.S. trade, demographic, business, and inflation data to evaluate K-Food and K-Beauty opportunities across the United States.
- Integrated four public data sources into a normalized SQLite analytics database
- Built SQL-based regional market opportunity rankings
- Benchmarked Seasonal Naive, Moving Average, Holt-Winters, and SARIMA forecasting models
- Deployed an interactive Streamlit dashboard with market trends, rankings, and six-month forecasts
Analysis of analytics job opportunities across New York, New Jersey, Washington D.C., Virginia, and Maryland using Python and the Adzuna API.
- Collected and cleaned 437 unique job postings
- Classified roles by job function, career accessibility, technical skills, and employment restrictions
- Analyzed regional hiring patterns and early-career opportunities
- Created decision-focused visualizations using pandas and Matplotlib
University of Wisconsin–Madison B.S. in Data Science Certificate in Digital Media Analytics Expected Graduation: December 2027