I'm a Business Analytics graduate student at the University of South Dakota with a background in Information Technology and Business Administration. With over five years of experience in digital marketing and e-commerce, I focus on turning data into actionable insights that support better decision-making.
I'm a Business Analytics graduate student at the University of South Dakota with a background in Information Technology and Business Administration.
With over five years of experience in digital marketing and e-commerce, I have worked with campaign data, customer behavior, and performance metrics to improve business outcomes. I focus on turning data into actionable insights that support better decision-making.
My work combines business understanding and analytical tools such as SQL, R, Python, and data visualization to analyze problems, uncover trends, and deliver data-driven solutions.
Executed machine learning attrition prediction model (80.3% ROC-AUC) using Python, SMOTE, and GridSearchCV, enabling HR to reduce turnover costs by identifying at-risk employees based on compensation and overtime patterns.
Github →Analyzed 351 Airbnb listings in Salem, Oregon and built LASSO, Decision Tree, and Random Forest models to predict listing prices. Identified room type, bedrooms, and bathrooms as key pricing factors.
Github →Applied NLP techniques (tokenization, stemming, DTM) in R to analyze sentiment patterns across 12,000 customer reviews, identifying key emotional drivers of satisfaction and generating actionable recommendations.
Github →Created SQL Server database and data warehouse for a luxury wellness resort with ER diagrams, relational schemas, and ETL pipelines to support reservations analytics and customer experience insights.
Github →Analyzed 4 years of UNH stock data using time series techniques, building and evaluating ARIMA, ETS, and Random Walk models in R, selecting the optimal model based on RMSE, MAE, and MAPE to generate short-term forecasts.
Github →I'm actively looking for Data Analyst roles. If you'd like to connect or have an opportunity to discuss, feel free to reach out — I'd love to hear from you.