Welcome!

I'm Arjuna, a Gonzaga Alum who recently graduated with a B.S. in Computer Science.

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 a big Manchester City & Gonzaga Basketball fan, and I love getting outside and traveling. I'm deeply committed to learning and implementing emerging technologies. Currently, I'm seeking opportunities in software development, engineering, or related technical fields where I can leverage my skills to solve real-world challenges effectively.

My Skills in CS Include: Python, SQL, Node.js, Javascript, Github, React, Vue.js, HTML/CSS, AWS

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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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CPSC450 Algorithm Design & Analysis

This course covered principles and techniques of computational complexity. Topics could include dynamic programming, B-trees, minimum spanning trees, Floyd and Warshall algorithms, various string matching algorithms, computational geometry, exponential growth of round-off errors, NP-completeness and reducibility.

CPSC326 Organization of Programming Languages

In this course, I learned the main components of programming languages and the architecutre of intepreters and compilers. We used Java as a base language to implement our own language called "MyPL". This involved building a lexer, parser, type checker, VM, and code generator to compile MyPL code to bytecode. Also covered was OCaml and functional programming.

CPSC322 Data Science Algorithms

This course provided a detailed overview of the processes and techniques used in creating data science applications. Topics included data preparation and cleaning, summary statistics, basic data visualization techniques, feature selection, discretization, k nearest neighbors, naive bayes, decision trees, ensemble methods, apriori rule mining, and k-means clustering.

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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