Projects

Uses Python and Scikit-Learn models to differentiate between bad connections, called intrusions/attacks, and good connections.

An evaluation of Logistic Regression, Decision Tree, and Random Forest model accuracy on Heart Disease data. Logistic Regression achieved 85.07% accuracy.

Uses Python and Pytorch to load the MNIST digit dataset and train a logistic regression model.

A convolutional neural network built with TensorFlow and Keras to classify images from the CIFAR-10 dataset into 10 categories.

Generates and plots descriptive statistics of beers & breweries datasets using seaborn and pyplot.

Uses a random forest classifier to predict which passengers survive the Titanic. Achieved 83.8% accuracy.

Healthcare analytics research applying machine learning and data mining to predict Long COVID development from demographic and symptom data. This work resulted in 3 peer-reviewed IEEE publications.

A custom dynamic display of Events retrieved from the WordPress database after being added by the Events Manager 7 plugin.

A comparison of CBC vs ECB encryption on images and a demonstration of RSA encryption and decryption.

Database performance research quantifying the tradeoffs between query speed improvements and storage overhead when implementing B+ tree indexes.

A distributed computing application that builds and validates a blockchain by requesting blocks from peers. This application was built in Python and uses Sockets to send requests and receive responses from peers.

A full-stack academic productivity application that helps students track study time, manage grades, and stay organized. Built with Flask backend, Vue.js frontend, and deployed via CI/CD pipeline.

Builds a dynamic programming table based on 2 given sequences and fills it based on the calculated sum of pairs scores. Optimal alignments are identified by tracing back through the table.

This pattern matching implementation compares the efficiency of the brute force and Knuth-Morris-Pratt pattern matching algorithms on the Sorangium Cellulosum genome using Python and BioPython.

A custom Python implmentation of a recurrent neural network that analyzes timeseries data using matplotlib amd numpy. Created for Machine Learning at the University of Manitoba.

High-fidelity vertical prototype for a food ordering website.

An Android app designed to monitor user habits.

An interactive game of Clue created using Ruby and object-orientated design principles including abstraction, inheritance, and polymorphism.