William Dormer

Data Scientist

https://talent.gravityer.com/william-dormer

MScAC at the University of Toronto, studying Reinforcement Learning and Machine Learning for Robotics.

University of Toronto

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python, a core language for Data Science.
Exposure to various sub-fields of AI including Computer Vision, Reinforcement Learning, and Geometric Deep Learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a strong academic and research-oriented background, which could align well with organizations that value continuous learning and innovation. The diversity of projects, from hardware description languages (Verilog) to advanced AI topics, suggests a broad technical curiosity. However, the lack of professional experience beyond a current 'Data Scientist' role at a university (with no start date provided) makes it difficult to fully assess cultural fit in a corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

BosonAIHackathon

October 25, 2025 – October 26, 2025

Boson AI Hackathon Code

View Project

scale_racing_simulator

April 4, 2025 – Present

A simulator for the scale racing team's autonomous car.

View Project

SDNLoadBalancingRL

March 24, 2025 – April 14, 2025

The reinforcement learning side of the SDN load balancing project

View Project

CSC2530-Final-Project

March 7, 2025 – April 21, 2025

CSC2530-Final-Project — GitHub repository

View Project

SDNLoadBalancing

February 22, 2025 – April 14, 2025

A final project for UofT Computer Networks for Machine Learning graduate course

View Project

3DMenuVisualization

October 23, 2024 – December 6, 2024

Geometric Deep Learning Final Project adapting recent methods for food visualization via novel view synthesis

View Project

ComputerVisionLab2

September 11, 2024 – September 11, 2024

Adaptive instance normalization for mixed style and content images.

View Project

ComputerVisionLab3

September 11, 2024 – September 11, 2024

Improving image classification results using architecture modifications

View Project

ComputerVisionLab5

September 11, 2024 – September 11, 2024

Localizing pet noses using neural networks

View Project

Mini-SRC

January 24, 2022 – April 28, 2023

Queen's University ELEC 374 Term Project

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python, a core language for Data Science.
Exposure to various sub-fields of AI including Computer Vision, Reinforcement Learning, and Geometric Deep Learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

William Dormer

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit