- Supports the CEO with business decisions including market research, go-to-market strategy, pricing strategy, etc.- Supports the CTO with front-end development- Develop features that require machine learning as the lead data scientist

- Maintained team internal website using Hugo on GitLab- Developed and maintained divisional website using Hugo on GitLab. Explored R-blogdown to integrate code and Plotly visualizations. Added interactive elements such as MS Teams recordings, Plotly graphs, PDFs, and a calendar using FullCalendar.js.

- Developed background removal program using a pre-trained model.- Created an ASL detector and translator to English, HelpingHand, with 64% accuracy.- Awarded the best paper in CUCAI's proceedings.- Trained and Tested several ML models for the natural language processing (NLP) task of predicting NAICS (North American Industry Classification System) code- Developed a NLP search engine as part of Team Hazelnut. Was responsible for web crawling the City of Kingston website using Python, data preprocessing, and developing the NLP model to find the best results to a user's query.

Worked on a variety of projects such as:- Virtual Water Cooler: A program in Python that pairs up colleagues that complete an English or French Google Forms- Social Indicators Visualization Tool: An RShiny application that generates interactive visualizations using disaggregated demographic data. Presented the tool at the Data Literacy Conference, a Canada-wide event, to an audience of over 900 people.- CODR metadata search engine: An RShiny application that uses the StatCan WDS API to download metadata files and enables the user to search for data more efficiently than the StatCan Data website.- Automating Dailies: An RMarkdown file that enables data analysts to do data manipulation and fills in some words in a paragraph.- jiraR: An R package that creates data visualizations from a Jira project. Includes an RMarkdown example as well as an RShiny GUI.- Innovation Surge Team Website: A static site hosted on GitLab using Hugo that promotes the team's activities: Wrote multiple articles for the monthly citizen development newsletters posted on the website

Created a web scraping Python program using Selenium that takes company information and stores it into a .csv file which saves a significant amount of time compared to manually filling out an excel file for each company.

Taught grades 2-6 English, Math, Art, Poetry, Card Games, and Ultimate Frisbee.