Undergraduate Projects

The project on the left was the first report I developed in my MIS 401 Business Intelligence course. The focus of this project was to select a region of the world, analyze the root causes of its profitability concerning the products it developed, and provide recommendations for improving profitability. As part of this project, I cleaned and manipulated the dataset in Excel to ensure proper formatting for visualization in Tableau. 

The project on the left was a collaborative effort with a colleague, where we were provided with a dataset and tasked with assigning it to a professional sports organization to support their strength and conditioning efforts related to injury management. The application of both supervised and unsupervised learning, combined with the use of Tableau and Excel, played a crucial role in the analysis and insights generated for this project. 

On the left, for my MIS 305 course on SAP and ERP Analytics, one of our research projects involved utilizing a dataset from Kaggle, importing it into the SAP database, and performing data cleaning and manipulation to formulate a research question. For my analysis, I conducted a brief study on the evolution and perceived "value" of the running back position from 2001 to 2023, utilizing the most recent full dataset available. 

On the left, for my MIS 585 Cybersecurity course, this project focused on identifying the IP address of a business's surrounding area and analyzing potential vulnerabilities, including data leaks and hacker activity. The analysis included assessing the number of incidents that occurred within a specific timeframe. Various cybersecurity investigative tools, such as Censys, Shodan.io, Greynoise, and others, were utilized to conduct a thorough examination of IP addresses from a cybersecurity analyst's perspective.