Good evening! My name is
Teddy Zaremba.
I build apps and play with data.
I'm a computer science student at the University of Illinois at Chicago graduating Fall 2023.
My Projects
Software Engineering
Discord Sentiment Analysis Bot
A discord bot that analyzes the sentiment of the channel's chat that logs all the chats into a MongoDB database.
Frameworks
MongoDB
AWS
Languages
Golang
Github
Distortia Web App
Distortia is a react based image guessing game that let's players guess an image as it gets progressively distorted.
Frameworks
MongoDB
Node
React
NextJS
Languages
Javascript
Github
Server / Client
This is a java implementation of Mora where two clients connect to a server and reveal their guesses / score through the server.
Frameworks
Maven
JavaFX
FXML
JUnit
Languages
Java
Github
Emotion Tracker Mobile App
A flutter app that allows you to track your emotions (happy, sad, neutral) on a calender and plot them.
Frameworks
Flutter
Languages
Dart
Github
CTA Data Analyzer
A python app that analyzes the CTA Database. It allows the user to track metrics such as the number of riders at a given station or in a given year.
Frameworks
sqlite3
Languages
Python
SQL
Github
Black STEM Advocates
A one page website for the Black STEM Advocates non-profit. It allows the user to sign up for the mailing list and make a donation.

BLACK
STEM
ADVOCATES
PROJECT

Frameworks
React
NextJS
HTML
CSS
Languages
Javascript
Link
Data Science
BCI Subject Transfer
A framework for training across subjects to classify left hand, right hand, and foot motor imagery EEG signals.
Frameworks
Tensorflow
Keras
KerasTuner
Languages
Python
Github
Earthquake Prediction
Analyzed Bay Area earthquake data between 1990 and 2018 from the UC Berkeley Seismology Lab.
Frameworks
RPy2
Google Collaborate
scikit-learn
Languages
Python
R
Github
Work Experience
Machine Learning Research Intern
University of Colorado - Colorado Springs
June 2021 - January 2022
I Developed preprocessing and feature extracIon pipeline for the EEG data of 21 subjects. I Tested ConvoluIonal Neural Network (CNN) to classify imagined arm and foot movement. I achieved greater than 95% accuracy for right hand vs. left hand. Our paper was presented and published in IEEE WCCI 2022.
Paper
Skills
Languages
Python
Javascript
C++
C
SQL
Java
R
Go
Dart
Framweworks
React
Next.JS
Node
MongoDB
HTML
CSS
JavaFX
JUnit
sqlite3
Data Science
Tensorflow
Keras
Keras-Tuner
RPy2
Scikit-Learn