Welcome to my Tableau Dashboard Portfolio, where I showcase a collection of dynamic and insightful dashboards created during my Master’s program in Data Science at Eastern University. These dashboards represent a culmination of rigorous coursework, practical projects, and my passion for data visualization. Each dashboard is designed to provide clear, actionable insights across various domains, demonstrating my ability to transform complex data into intuitive visual narratives. Explore these examples to see how I leverage Tableau to unlock the power of data and drive informed decision-making.
Video Game Market Analysis
This assignment involved analyzing the video game market to identify growth opportunities across different segments. Utilizing Tableau, I created a series of visualizations to answer key business questions for a hypothetical marketing department of a video game distribution company. The data used included estimated revenue and console sales across various platforms.
Marvel Cinematic Universe Box Office Analysis
In this assignment, I analyzed box office data for Marvel Cinematic Universe (MCU) movies to gain insights into various aspects of their performance. The exercise provided hands-on experience in creating advanced visualizations using Tableau, such as trend lines, reference lines, and dual-axis plots.
Lending Club Loan Data Analysis
This assignment focused on utilizing calculated fields in Tableau to analyze loan data from the Lending Club platform. By creating various visualizations, the goal was to answer specific business questions regarding income distribution, debt-to-income ratios, and payment performance.
ATM Cash Flow Analysis
This assignment involved analyzing ATM cash flow data to ensure optimal cash levels in ATMs across the city. Using Tableau, I created various visualizations and table calculations to monitor and manage cash deposits and withdrawals, ensuring that ATMs maintain an ideal cash range between $50,000 and $200,000.
Analysis of Restaurant Visits
In this assignment, we focused on using Level of Detail (LOD) calculations to manage the granularity of data in our visualizations. The task involved analyzing data from a food critic’s visits to fine dining restaurants worldwide, providing insights on various metrics such as Michelin star status and meal costs.
Regional Sales Analysis
For the final project, I undertook a comprehensive analysis of a fictitious sales dataset, leveraging all the skills and techniques learned throughout the course. The goal was to uncover valuable business insights and present them through a series of compelling visualizations, a dashboard, and a Tableau story.