Projects

• GameCo: Global Video Game Sales Analysis

  This project focused on analyzing regional sales data to guide GameCo’s strategic market decisions. I cleaned and structured large datasets containing sales figures across regions and product categories. Using tools like Excel for advanced data manipulation and visualization, I identified high-performing genres and markets with the highest ROI for marketing investments.

  Tools: Microsoft Excel, PowerPoint

  Outcome: Recommendations improved marketing efficiency by targeting high-ROI regions, boosting sales performance.

  Download GameCo Presentation

• Influenza Season: Resource Allocation Planning

  I developed a data-driven plan for optimizing hospital staffing and resources during seasonal flu surges. I integrated data from the CDC and other sources, performed statistical analysis, and created interactive dashboards in Tableau to visualize key trends.

  Tools: Tableau, Microsoft Excel

  Outcome: Hospital administrators improved resource allocation efficiency in high-demand regions during peak flu season.

  View Influenza Analysis Dashboard

• Rockbuster Stealth: Customer Rental Insights

  This analysis supported Rockbuster Stealth’s digital rental platform strategy by evaluating customer rental patterns and revenue trends. I extracted and cleaned large datasets using SQL and visualized insights using Tableau dashboards. The analysis highlighted top-performing genres and underperforming regions.

  Tools: SQL, Tableau

  Outcome: Inventory optimization and a focus on high-demand categories improved revenue projections and business planning.

  View Rockbuster Dashboard View Rockbuster GitHub Repository Download Rockbuster Presentation

• Global Happiness Analysis

  I explored global well-being data to uncover key factors influencing happiness across different regions. Through advanced data analysis and visualization, I identified trends related to economic factors, social support, and life expectancy that impacted global happiness scores.

  Tools: Tableau

  Outcome: The project provided actionable insights for policymakers aiming to improve well-being through targeted initiatives.

  View Happiness Analysis Dashboard View Happiness GitHub Repository

• Instacart: Customer Purchasing Patterns

  This project focused on analyzing customer purchasing patterns to optimize Instacart's marketing and retention strategies. I cleaned and prepared large datasets, performed exploratory data analysis, and developed data visualizations to highlight key purchasing trends.

  Tools: Python, SQL

  Outcome: The analysis helped Instacart improve marketing efficiency by targeting specific customer segments and peak buying periods.

  View Instacart GitHub Repository