Excel
[ik-sel]

I’ve used Excel extensively for data analysis, reporting, and visualization. These projects highlight my proficiency in using Excel to simplify data and drive insights. Key examples include:

  • Creating detailed reports and dashboards to support leadership decision-making at DaVita Kidney Care.

  • Developing automated workflows and calculations to streamline processes in professional settings.

  • Utilizing advanced Excel functions, pivot tables, and charts to analyze and present complex data effectively.

The Wealth Spectrum: Analyzing Billionaires Across Demographics

This project explores the demographics and financial profiles of the world’s billionaires, highlighting wealth distribution by age, gender, industry, and self-made status. Using Excel, I employed pivot tables, slicers, and dynamic visualizations to uncover patterns in wealth concentration, industry dominance, and demographic representation.

This analysis demonstrates key skills in data organization, analysis, and storytelling through clear and impactful visuals, offering a concise view of global wealth trends.

Leveling Up: A Data-Driven Dive into Video Game Inventory

This Excel-based analytics project provides a comprehensive look at a personal video game inventory, spanning multiple console generations (PS1, PS2, PS3). The analysis categorizes games by genre, release date, developer, and other metadata, with dashboards highlighting trends such as genre popularity across consoles and rare editions in the collection. By utilizing tools such as pivot tables, slicers, and dynamic charts, this project demonstrates proficiency in data organization, visualization, and storytelling while uncovering unique insights about the evolution of gaming preferences and catalog diversity.

Game On: A Dashboard Exploration of PlayStation Favorites

This Excel analytics project explores a comprehensive collection of PlayStation console games across PS1, PS2, and PS3 generations that I have acquired through the years. Featuring a dynamic dashboard, the analysis categorizes games by genre, publisher, and developer, showcasing trends such as the most prevalent game genres and publisher dominance over the years.

The dashboard integrates tools like pivot tables and slicers to allow interactive exploration of the data, enabling users to uncover insights about genre preferences, rare titles, and even special editions. This project demonstrates proficiency in Excel-based data visualization and storytelling while offering a nostalgic look at a curated video game library.