Stephen Hallett ⚡️
Profile
Junior data scientist with a passion for all things machine learning. I have a strong interest in applying data science methods to practical problems in the real world, as showcased through my research, work at KPMG, and in personal projects. Skilled in computer vision, NLP, cloud-based machine learning, MLOps, and data analytics, I am eager to utilize my skills to solve industry challenges and push innovation.
Education

Master of Data Science

2023 to 2024 at The University of Auckland, Auckland, New Zealand

Conjoint BCom/BSc: Finance, Economics and Statistics

2019 to 2023 at The University of Auckland, Auckland, New Zealand

Experience

Junior Data Scientist at KPMG

From Nov 2023 to Present at KPMG, Auckland, New Zealand

• Fine-tuned and deployed a large language model for expenditure classification using Azure ML pipelines.
• Created custom image quality models and an eye gaze detection system used to scan over 5 million images.
• Built an object detection model for waste sorting with MLOps pipelines in Azure ML.
• Developed a product catalogue tool using Retrieval-Augmented Generation (RAG).
• Used PySpark and Databricks to analyze power infrastructure operational data.

Graduate Teaching Assistant

From Feb 2023 to Nov 2023 at University of Auckland, Auckland, New Zealand

• Ran computer science labs and gave one-on-one tutoring.
• Gained experience in communication, teaching, and working with diverse student backgrounds.

Chilled/Frozen Department Assistant

From Feb 2019 to Feb 2023 at New World New Lynn, Auckland, New Zealand

• Frequently nominated for employee of the month.
• Developed time management, teamwork, and delegation skills in a busy environment.

Publications
  • Hallett, S., Heidari, S., Rogers, M., & Delmas, P. (2024). Vote-Based Line Aggregation for Sports Field Registration. 39th Int. Conf. on Image and Vision Computing New Zealand (IVCNZ).
    •  - Achieved Mt Cook award for highest rated paper.
  • Wang, J., Wang, R., Gendron, G., Heidari, S., Soriano Valdez, D. A., Cruz, G. A. Z., Hallett, S., et al. (2024). Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks. 39th IVCNZ.
Certifications
Software
  • Python
  • R
  • SQL
  • MATLAB
  • HTML/CSS/JavaScript
  • NodeJS
  • Microsoft Azure
  • Azure ML
  • Terraform
  • Git
  • Linux/Unix
  • Nix
  • Docker
  • FastAPI
  • PySpark
Skills
  • Leadership
  • Fast learner
  • Strong people skills
  • Problem solving
  • Patience and dedication
  • Collaboration
Interests
  • Electronics
  • Investing
  • Bouldering
  • Boxing
  • 3D printing
  • Programming
  • IoT
  • Homelab
© 2025 Stephen Hallett