Welcome!

I'm Arjuna, a Fourth Year Computer Science Student at Gonzaga University in Spokane, WA.
I've really been enjoying making visually appealing pages with HTML/CSS/JS and JS frameworks recently :D
I'm looking to apply these skills and deliver well made frontend products!

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About Me

My full name is Arjuna Herbst and I'm currently studying computer science at Gonzaga University with a concentration in Data Science. I'm a big Manchester City & Gonzaga Basketball fan, and I love travelling to new places. I have a passion for learning new technologies and their implementations in the real world. Currently, I'm seeking a software development/engineering internship to apply my skills in real world scenarios.

My Skills in CS Include: Python, SQL, Node.js, Javascript, Git/Github, React, and more

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Coursework

CPSC260 Computer Orginization

This course covered the basics of computer organization and articheture. This course was taught in C and assembly language. Topics covered included: CPU articheture, ALU's, logic gates, registers, calling functions in assembly, and more. Course Github repo below.

CPSC323 AI/ML

This course served as an introduction to the implementation of machine learning algorithms in Python using Google Colab. Topics covered incduded: linear regression, logistic regression, A* search, model fitting, LLM's, and more. Course Github repo below.

CPSC321 Database Management

CPSC321 was a course that covered the basics of relational dat abase management. Languages used included SQL, Javascript (Node.js), and Python. Topics covered included: ER diagrams, advanced and basic SQL queries, querying a database from a frontend web application (see project link), and more. See YouTube video on this course's final project below

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Projects

Space

3D Web Page

Built a web page with 3D animations and models using Vite.js with Three.js. May not load properly on smaller devices.

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KNN Clustering

NBA Data Analysis

Using Jupyter Notebook, I implemented KNN clustering to analyze NBA 2022-23 player data and find trends and patterns within the data.

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Dynamically Populated UI

Flavor Exchange

Using Node.js, Express, React.js and MySQL Database, I created a web application that allows users to post and leave reviews for their favorite ingredients and recipes.

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