Explore my work and learn more about me.
About I am a sophomore undergraduate student at University of Illinois at Urbana-Champaign. I am currently a Mathematics major with concentration in Data Optimization and with a minor in Data Science. I am excited to apply skills from my Stats, Math, and Data Science classes into the real world scenario to solve real-world problems.
This project involves a comprehensive analysis of the Global Superstore dataset to derive business insights. Using Tableau, I created eight interactive visualizations and a consolidated dashboard to explore sales, profit trends, shipping costs, and customer behaviors. The project demonstrates skills in data cleaning (Python), exploratory analysis (Jupyter), and data visualization (Tableau Public). Key takeaways include identifying regional performance disparities, product category profitability, and customer segmentation for strategic business decisions. GitHub Repository: https://github.com/samuel54illinois/Global-Superstore-Case-Study?tab=readme-ov-file Tableau Public Dashboard: https://public.tableau.com/app/profile/enqi.wu5193/viz/SuperstoreSalesAnalysis_17351509091510/GlobalSaleDashboard
Technologies: Data Visualization · Tableau · Data Analysis · Python · Business Intelligence
View DashboardDescription: This project uses K-means clustering to segment mall customers based on their annual income and spending behavior. The analysis identifies four distinct customer groups, each with unique characteristics, to guide marketing strategies. New Highlights: Added actionable business recommendations for each customer segment based on insights from the clustering. Included visuals, such as the Elbow Method plot and customer segmentation scatterplot, for better data representation. Business Impact: Budget-friendly strategies for price-sensitive customers. Premium offerings and personalized experiences for high-value customers. Promotions and flexible payment options for high-spending customers.
Technologies: Python (Programming Language) · Machine Learning · Data Science
View on GitHubDescription: Created an interactive Sales Analysis Dashboard using Tableau Public to visualize sales trends, segment performance, and regional analysis from 2015–2018. The project highlights insights into top-performing categories and sales seasonality, enabling data-driven decision-making.
Technologies: Python (Programming Language) · Machine Learning · Data Science
View on GitHub