SNHU 2026 CAPSTONE ePortfolio
BRADLEY GUALCO

Introduction

This ePortfolio begins with a section about my educational journey to earn a BS Degree in Computer Science with a Concentration in Data Analysis. Next, there is a section defining the outcomes that are to be demonstrated through an artifact. This artifact is from previous coursework and will be enhanced in three key ways.

The first enhancement will display Software Design and Engineering skills.
The second enhancement will illustrate Algorithm and Data Structure skills.
The third enhancement will demonstrate Database skills.

Lastly, additional projects will be displayed that exhibit specialized skills in computer graphics, full stack development, software design documentation and data analysis.

Education Review

I began the Computer Science program, at SNHU, in 2024. Before that, I had earned an AA in General Education from Yuba College and an AS in Information Technology from SNHU. I also took some courses at Arizona State University’s Ira A. Fulton Schools of Engineering. I have a strong background in mathematics (e.g. Modern Differential Equations and Signals & Systems) and science (e.g. Physics III and Organic Chemistry).

Throughout the SNHU program, I have learned about working with the MEAN stack (MongoDB, Express, Angular, and Node.js) and adding CRUD (Create, Read, Update, and Delete) functionality. I now have skills using best practices in programming with C++, Java, and Python. This includes planning with pseudocode, creating software design documents, iteration, commenting code, JUnit testing, the Software Development Life Cycle, using MVC (model, view, and controller pattern), computer graphics and much more. I learned data analysis techniques using Pandas, Seaborn, Matplotlib, Numpy, MySQL, etc.

In this project, I will demonstrate my skills with the Python programming language. Specifically, I will focus on implementing solutions using data analysis techniques, communication through the read-me file and code commenting, using best practices, using the MVC pattern, using efficient database queries, and using security techniques to safeguard the data. My degree is in Computer Science with a concentration in data analysis. This demonstration will allow employers to view the skills that were developed for data analysis and full stack development.

My career plans are to develop visualizations that give actionable insights for making future business decisions. I want to create dashboards where the user can truly understand the data and its implications. The freedom to design computer applications along with the data visualizations will be very beneficial to meeting business goals and demands.

Since I’ve worked in pharmacy for many years, my natural specialization would be in healthcare and pharmacy. The skills being demonstrated can be used to decrease errors, find efficiencies, manage inventory better, increase compliance with laws and regulations, improve patient satisfaction scores, increase medication compliance, etc. My career is one of discovery and data that is cleaned, analyzed, and visualized can lead to many new discoveries.

Course Outcomes

This ePortfolio will demonstrate the following outcomes:

Employ strategies for building collaborative environments that enable diverse audiences to support organizational decision-making in the field of computer science.

Design, develop, and deliver professional-quality oral, written, and visual communications that are coherent, technically sound, and appropriately adapted to specific audiences and contexts.

Design and evaluate computing solutions that solve a given problem using algorithmic principles and computer science practices and standards appropriate to its solution while managing the trade-offs involved in design choices.

Demonstrate an ability to use well-founded and innovative techniques, skills, and tools in computing practices for the purpose of implementing computer solutions that deliver value and accomplish industry-specific goals.

Develop a security mindset that anticipates adversarial exploits in software architecture and designs to expose potential vulnerabilities, mitigate design flaws, and ensure privacy and enhanced security of data and resources.

About The Artifact

The Grazioso Salvare application was developed to create meaningful insights from animal data. This artifact was created in early 2026. The artifact was a project from SNHU (CS 340) and shows use of CRUD database operations, MCV organization, and Data Analysis Techniques. A logo appears at the top and there is a data table that displays the data. There are filtering options and radio items for convenient filtering. There is a pie chart to show breed options, a map to locate and identify a particular animal, and a bar chart to show outcomes based on radio item selection.

Click to Download the Original Artifact Files

Figure 1 shows the original logo and filter options.

View of Map
Figure 2 shows the original map with hoverable and clickable features.

View of Pie Chart
Figure 3 shows the original pie chart.

Code Review

This is a code review of my CS-340 project at SNHU. The application uses the MCV pattern to create a table, map, and visualization of rescue animal data. The application uses MongoDB and Python. There is an accompanying Jupyter Notebook that demonstrates the CRUD functionality and testing for error handling. The application includes radio items and a map with hover and click features. The table can be filtered and sorted. Enhancements will include changing the database to MySQL, defining datatypes and designing new queries, and adding another visualization for more practical insight into the data. A map issue will be resolved such that the selected animal will appear centered on the map and the map will refresh correctly. Role-based access will be implemented on the MySQL database, and radio items will help prevent SQL injection attacks. A CSS file will be added to demonstrate the ability to alter style across the application.