Bachelor of Applied Science (B.A.Sc.) in Electrical Engineering and Bachelor of Science (B.Sc.) in Computing Technology

• September 2019 - Current
• Level of Study: 3
• Expected Completion Date: December 2024
• Awards and Achievements:
  • Dean’s Honour List - Winter 2020, Fall 2020, and Winter 2021
  • Dean’s Merit Scholarship - Winter 2020, Fall 2020, and Winter 2021
  • Admission Scholarship - 2019-2020
• Completed Electrical Engineering Courses:
  • Digital Systems
  • Circuit Theory I & II
  • Electronics I
• Completed Computer Science Courses:
  • Introduction to Computing I & II
  • Data Structures and Algorithms
  • Programming Paradigms

Courtesy of University of Ottawa

Ontario Secondary School Diploma

• September 2015 - December 2019
• Awards and Achievements:
  • Advanced Placement (AP) program and French Immersion Program
  • B2 level in Diplôme d’étude en langue française (DELF) test for proficiency (read, write, speak) in French
  • 3 subject awards for highest course grade
  • 2 silver medals for average over 90%
  • Participation in French public speaking competition
  • Over 40 hours of community service

Courtesy of Cairine Wilson Secondary School

• uOttaHack 3, Major League Hacking
• February 2020
• 36 hour hackathon with over 450 students
  • Participant
• uOttaHack 2, Major League Hacking
• February 2019
• 24 hour hackathon with over 500 students
  • Participant

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Courtesy of University of Ottawa

• Relay For Life (Canadian Cancer Society)
• May 2016 - May 2019
• Raised money by going door-to-door in various neighbourhoods and communities to support the efforts of Canadian Cancer Society
• Tutor
• September 2015 - June 2019
• Tutored students in various subjects, including Mathematics and Chemistry, for grades 9 to 12

Courtesy of Relay for Life

• May 2020 - June 2020
• Purpose: To learn the fundamentals of Supervised Machine Learning, specifically Convolutional Neural Networks (CNNs), and to gain familiarity with notable Machine Learning libraries in Python.
• Description:
  • A web scraper was implemented to create a dataset consisting of 5000 images of cats and 5000 images of dogs. The images were downloaded from https://unsplash.com/images/animals/dog and https://unsplash.com/images/animals/cat , then saved directly to Google Drive.
  • The dataset was split into training (80%), validation (10%), and testing (10%) sets. The images were downscaled to 125 x 125 pixels to improve accuracy and efficiency. A deep learning CNN was then developed and optimized to classify these images.
  • Various techniques, such as data preprocessing, hyperparameter tuning, and model architecture refinement, were used to evaluate the performance of the model. The standard accuracy of the preliminary model was ~57%, which was improved to ~81%. Other notable metrics, such as Precision, Recall and F1 score, were also implemented.
• Packages:
  • Keras
  • Sklearn (scikit-learn)
  • BeautifulSoup

• January 2020 - April 2020
• Role: Team Lead
• Budget: $500 (Funded by the University of Ottawa)
• Purpose: Hands-on team project to learn about design thinking, engineering design process, prototyping, safety, ethics, teamwork and project management.
• Description:
  • A 6ft x 6ft x 6ft greenhouse, featuring a custom hydroponic system, was designed to aid the community of Lac Barrière, Quebec in harvesting crops.
  • Various steps of the design process were implemented, notably design criteria, conceptual design, and three-phase prototyping.
• Unfortunately, due to the COVID-19 outbreak in 2020, this project was not completed and was not evaluated during Design Day.