Projects

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

An object-oriented implementation of Clue

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

Multiclass image classification of images in the CIFAR-10 dataset.

An Android app designed to monitor user habits.

High-fidelity vertical prototype for a food ordering website.

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. In addition to comparing the algorithms, I identified a pattern that runs significantly faster with KMP and found a pattern that codes for amino acids.

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.

An academic companion designed to help students succeed while staying organized.

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

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.

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. It purely builds and validates the blockchain. There is no block mining implemented because other peers on the network mined blocks faster than the local application could.

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.