Below are some examples of projects that I have completed during my academic career at Ramapo College of New Jersey. All of these projects enabled me to demonstrate skills that I believe would be beneficial to you.

NumCPP (C++) - Computer Science Capstone Project (CMPS450 - Spring 2024)

In this project, I aimed to replicate more than 100 of the most commonly used NumPy functions in C++ to demonstrate my proficiency in both languages. The main accomplishments from this project were:

• Designing functions for performing tasks including but not limited to linear algebra, statistics, trigonometry, and array creation/manipulation.
• Authoring an 18-page Microsoft Word document detailing the installation instructions, UML diagrams, and what data and file structures were utilized.
• Presenting the project to a panel of students and my professor at the end of the semester.

The project was a success and I received an A grade for my efforts. To get an idea of what the project entailed, you can download the project's code and report below. You can also get an idea of how the project works by watching the video demonstration below.

Download NumCPP Report
Download NumCPP Code and Additional Files

Video Demonstration:

Disclaimer: The video demonstration is a bit lengthy, and I make a few mistakes (i.e. mispronunciations) while explaining the project. Please bear with me as I have high-functioning autism and sometimes struggle with verbal communication.

Final Project - Web Application Development (CMPS369 - Spring 2024)

In this project, I used a combination of Pug, Bootstrap, Node.js, Express, and SQLite to develop and deploy a web application that involves creating and maintaining a contact list. The main features of this project are:

• Database management using SQLite
• CRUD operations for adding, updating, and deleting contacts
• User authentication and authorization using hashing and salting functionalities of the "bcrypt" module from Node.js
• Geolocation functionalities using the "node-geocoder" module from Node.js
• Responsive web application design using Bootstrap

Below is a video demonstration of the project in action. You can also find a link to the project's webpage below. When clicking on the link, the webpage may take some time to load. Please be patient.

Final Project Webpage

Demonstration Video

Breast Cancer Data Analysis - Introduction to Data Science (DATA601 - Fall 2023)

In this project, I collaborated with a team of 3 students (myself included) to analyze the performances of 7 different machine learning algorithms on the UCI Breast Cancer dataset. The seven algorithms that we tested were:

• Logistic Regression
• Support Vector Machine
• Decision Tree
• Random Forest
• K-Nearest Neighbors
• Bagging Classifier
• Voting Classifier

The main goal of this project was to determine the top 3 algorithms that performed the best on the dataset, as well as to determine the most significant predictors of a cancer diagnosis. You can download the Jupyter Notebook that contains the code, results, and analysis below. You can also view a PDF file that contains the final report.

Final Report:

Download Final Report

Jupyter Notebook:

Download Jupyter Notebook

Video Game Sales Analysis - Introduction to Data Science (DATA101 - Fall 2022)

In this project, I collaborated with a team of 5 students (myself included) to examine the correlation of 6,900 video games' sales to their popularity, and related stocks.

The main goal of this project was to determine if there exists a relationship between the global sales of video games and the stocks of the companies that published them.

You can view the final report, as well as the R Markdown file that contains the code, results, and analysis below.

Final Report:

Download Final Report

R Markdown File:

Download R Markdown File