Hello, I’m Sabun
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.
Technical and Professional Skills
Projects
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.
Python
Analyzed 351 Airbnb listings in Salem, Oregon and built LASSO, Decision Tree, and Random Forest models to predict listing prices. Performed feature engineering, log transformation, variable selection, and model evaluation. Identified room type, bedrooms, and bathrooms as key pricing factors, with Random Forest achieving the best predictive performance.
Github
SAS
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 for content strategy and platform optimization.
R Programming
Created SQL Server database and data warehouse for luxury wellness resort with ER diagrams, relational schemas, and ETL pipelines to support reservations analytics, reporting, and customer experience insights.
SQL
Analyzed 4 years of UnitedHealth Group (UNH) stock data using time series techniques, building and evaluating ARIMA, ETS, and Random Walk models in R, and selecting the optimal model based on RMSE, MAE, and MAPE to generate short-term forecasts.
R Programming
Education
University of South Dakota | Aug 2024 - Current
Master’s in Business Analytics | GPA 3:77
Relevant Courses Taken: Data mining, Data warehousing and modeling, Business Analytics Modeling, Operational Analytics, Project Management
Westcliff University | Mar 2020 – Mar 2022
Master’s in Business Administration | GPA 3.75
Relevant Courses Taken: Data Analysis and Business Intelligence, Market Research, Business Research Methodology
Experience
Graduate Research Assistant | Aug 2025- Current
University of South Dakota, Vermillion, South Dakota
- Conducted retail sales forecasting on a large-scale dataset of 42,000+ time series across 10 stores and 3,000+ products, applying advanced forecasting and machine learning techniques with hierarchical methods to improve predictive accuracy and support demand planning decisions.
- Built automated data pipelines and a Tableau dashboard to track forecasting model performance in real time, cutting manual reporting effort by 5+ hours weekly.
Coyote Business Consulting | Aug 2025- Current
University of South Dakota, Vermillion, South Dakota
- Developed a demand forecasting model across 20+ product categories using 5 years of sales and inventory data for Charlie’s Bookstore & Fan Shop, applying time series analysis to support Open-to-Buy planning and minimize overstock risk by enabling data-driven purchasing decisions.
- Delivered a 12-month data-driven marketing strategy, cross-platform content calendar, and website optimization for ISPMB, a wild mustang and burro conservation nonprofit, strengthening donor acquisition by 10+ per month, growing social media engagement by 8% and improving online visibility.
Campaign Manager, Daraz Nepal | Jan 2023 – Mar 2024
Kathmandu, Nepal
- Leveraged SQL and Excel to analyze performance across 10+ marketing campaigns, applying monthly trend and conversion analysis to refine targeting strategies that increased lead generation and drove a 30% lift in sales conversion.
- Evaluated market trends across social media, live streaming, and online platforms, enabling cross-functional teams to strengthen multi-channel presence and expand audience reach by 25%.
- Monitored campaign KPIs and ROI using Power BI dashboards, delivering weekly performance reports to stakeholders that guided data-driven campaign strategy decisions.
Thank you for visiting my portfolio.
Get in touch with me ‣
- Email: sabundhital@gmail.com
- LinkedIn: linkedin.com/in/sabundhital/
- Location: Vermillion, South Dakota
©️ 2026 Sabun Dhital. All rights reserved.