Data Analysis Projects

Since graduating from University, I have dedicated my time to learning new tools and skills for data analysis. Below you will find different projects that I have worked on Summer 2023 - Present.

Superstore Tableau Dashboard

I developed an interactive data visualization dashboard using a comprehensive superstore sales data set. Through this project, I conducted an in-depth analysis of various product sales from states across the country. This analysis provides valuable insights for the company regarding the market in order to optimize future sales.

Video Game Sales Power BI Dashboard

I developed a dynamic data visualization dashboard using a comprehensive video game sales dataset sourced from Kaggle. Through this project, I conducted an in-depth analysis of the top-performing video games and platforms based on global sales. The dashboard offers a user-friendly interface to explore these insights and provides an interactive platform for gaining valuable information about the video game industry.

Maryland Liquor Sales SQL Analysis

I utilized SQL Server Management Studio to import a dataset that contains information about liquor sales in Maryland and performed various queries on it. The queries range from basic to advanced, showcasing the various metrics present in the dataset. I have documented my results and workflow in a PowerPoint presentation accompanied with a Tableau dashboard.

Page View Time Series Visualizer

I visualized time series data using Pandas, Matplotlib, and Seaborn, revealing patterns and growth in daily page views on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. I implemented functions to draw line charts, bar charts, and box plots for in-depth data analysis and visualization.

Medical Data Visualizer

I analyzed medical examination data using matplotlib, seaborn, and pandas. The dataset comprises patient data which I used to explore the relationship between cardiac disease and other factors.

Data Analysis of Demographic Trends Using Pandas

I undertook the task of dissecting demographic data using the powerful Python library, Pandas. My objective was to gain insights from a dataset sourced from the 1994 Census database, offering a snapshot of societal characteristics during that period.