Here I list noteworthy projects that I have built (or added to) either alone or with a team.

4️⃣ Anscombe’s Quartet

  • Details the importance of data visualization by an exploratory analysis of Anscombe’s Quartet in R.
  • Written in R Markdown
  • Report

📊 tab-err PyPi (Open Source Contribution)

  • Working at the BHT’s Calgo Lab with Sebastian Jaeger I added to the tab-err, realistic errors in tabular data, package on PyPi.
  • Wrote basic tests, developed a high level api, and modified some othe error types as well as work on bug fixes in python.
  • PyPi
  • GitHub

📖 Editing/ Errata Addition of Machine Learning Kurz & Gut

  • I read the book Machine Learning Kurz und Gut in German and pointed out a few errors to the author.
  • Shows some proficiency in German written communication.
  • Github

🌐 K-Means Clustering of Cities

  • Implementation of the K-Means algorithm to cluster high population cities based on geographic coordinates.
  • I wrote this in R Markdown for fun.
  • Report

🏦 Messenger Bot

  • In this project, I setup messaging with the Telegram API, GitHub actions, and yfinance to ping my phone each day before the US Stock Exchange opens with information about the S&P 500 and crypto.
  • A future direction I am interested in is having LLMs summarize news articles and send a daily report to my phone from a curated list of sources.
  • GitHub

☁️ Business Intelligence Presentation

  • This is a presentation for a team project to analyze data from a 2006 AOL USA search query dataset which we hosted as an Exasol database on a Virtual Machine.
  • We were required to augment the database with another dataset, so we chose weather events in the USA during 2006.
  • The skills developed were: SQL, Python, OLAP, ETL, Data Visualization, Tableau, and EDA.
  • Presentation

⚡ Berlin Electric Vehicle Charger Geo-Visualizer

  • In this project, I loaded data from various German government sources about the population and charging stations in various postal codes in Berlin.
  • A heatmap overlay of a map of Berlin, subdivided by postal code is presented with options for viewing population, number of charging stations, and estimated new station demand.
  • Finally, a suggestion box functionality allows users to input suggestions attached to a given postal code.
  • Streamlit Page

🪙 Income Tax Calculator

  • In this application I loaded 2020 IRS data and used linear interpolation of tax brackets to compute the estimated median income of various zip codes in the United States.
  • Streamlit Page
  • Data

🤖 NumPy Feed Forward Neural Network

  • In this project, I implemented (alone, in NumPy, without the use of LLMs) a customizable feed forward neural network that can have an arbitrary number of layers and hidden units.
  • This was done from the absolute basics, just matrix & vector operations to implement forwardpropagation, backpropagation, and minibatched stochastic gradient descent.
  • GitHub

🏠 Housing Price Prediction Report

  • In this project, I worked with a team of 3 other students to apply and compare several different statistical learning methodolgies in R on a real estate dataset from Kaggle.
  • Report
  • GitHub

🗣️ Statistics Research Presentation

  • In this project, I present an example application of a novel statistical test to reaction times data.
  • This was worked on under the supervision of Professor Kimihiro Noguchi of the WWU Mathematics department.
  • We obtained funding from the WWU Mathematics department to travel to the 2024 Pacific inland Undergraduate Mathematics Conference (PiMUC) to present.
  • Presentation

🎓 Computer Science BS Senior Project Writeup

  • This project was the culminating work of my senior research project in my bachelor’s of computer science.
  • I worked with a team of 3 people to build an applied deep learning model in Python using PyTorch, NumPy, Pandas, and Astropy to predict parameters of binary star systems.
  • Report
  • GitHub

🧮 Joint Mathematics Meetings Poster

  • In this poster, I presented research regarding the simulation study aspect of the development of a novel class of statistical tests at the 2024 Joint Mathematics Meetings in San Francisco.
  • This was done under supervision of Professor Kimihiro Noguchi of the WWU Mathematics department.
  • We obtained funding from the WWU Mathematics department to travel to and stay in San Francisco for the 2024 Joint Mathematics Meetings.
  • Poster

📈 Data Mining Analysis of Energy Economics Time Series

  • In this project, I worked with one other student to analyze a set of time series concerning energy economics data.
  • During this project, we worked with faculty in the department of business and economics as well as the department of computer science.
  • The main techniques employed were clustering of time series and sequence mining. Traditional techniques for forecasting were not explored.
  • Report
  • GitHub

⚙️ Toy Operating System

  • In this project, as we worked through the textbook: Operating Systems Concepts 10th Edition, we had to individually implement (in KPL & Assembly) a toy operating system, the Blitz OS.
  • Due to academic integrity constraints I cannot publish my solution for this but I found the course instrumental in developing a deepened understanding of how operating systems work.
  • Book
  • Blitz OS Description
  • Blitz OS GitHub

⚙️ lsdir Implementation in C

  • This was a midterm live coding question which I did before the advent of ChatGPT.
  • We were given only 50 minutes to complete the program but I managed to get full points including extra credit.
  • GitHub

📡 TCP Client Server

  • In this class project, I implemented a client server architecture that allowed for the communication of messages using TCP/IP and UNIX sockets in C.
  • Assignment Description
  • GitHub

📡 UDP Load Balancing Server

  • In this class project, I implemented a UDP load balancing server using UNIX sockets in C.
  • The assignment description is on the GitHub but in MS Word…
  • GitHub

📝 Text Editor

  • In this assignment, I followed a lab to implement a text editor in Java. While not the most involved project, it is still a fun one.
  • GitHub