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Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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twotoque/README.md

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🐇 hi i'm derek!

Computer Science w/ UX Design Minor @ Wilfrid Laurier University
Graphics Administrative Assistant @ City of Toronto

I specialize in the intersection of UX design, full stack development, and data analysis. I build tools that make data accessible and community-focused.

Worked on several projects including an learning management program for a business course, sustainable transportation research, and playing around with geographic graphs in a park. Currently also trying to make my fitness bike smarter using machine learning, Apple HealthKit, and a Raspberry Pi Pico. Previously a Product Designer and Full-Stack Developer at Wilfrid Laurier University's Start-Up Lab, Data Analyst and Developer at Our Greenway Conservatory, and Graphic Designer at TTCriders. In my freetime you can find me in the gym, dancing, or skiing!

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  1. physicscalculator physicscalculator Public

    Searches periodic table for elements and calculates alpha, beta positive, beta negative, and electron capture decays

    JavaScript

  2. torontoCensusVisualizer torontoCensusVisualizer Public

    A tool to visualize 2021 Census data with respect to Toronto's neighbourhoods

    Python

  3. Our-Greenway/FlightPath-Downsview Our-Greenway/FlightPath-Downsview Public

    FlightPath Downsview is a navigation tool for Cycling Without Age rides, using Dijkstra’s algorithm for shortest path finding and accessible, visual local guides in the Downsview Park area.

    TypeScript

  4. FullCircleFoods-PlateMate FullCircleFoods-PlateMate Public

    A real-time food recognition system powered by TensorFlow that identifies dishes through your webcam and recommends relevant grocery products using machine learning.

    TypeScript

  5. BU354-UXdata BU354-UXdata Public

    Data found from the comparative usability study of a BU354 dashboard held in October 2025 with 59 students.

    HTML

  6. smart-bike-resistance-project smart-bike-resistance-project Public

    Modernize a stationary cycling machine by providing a personalized and automated workout experience through dynamic resistance and machine learning. Powered by a Raspberry Pi Pico.

    Swift