James Davison

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Resume

JAMES DAVISON

0412 399 385 | james.davison351@gmail.com | Sydney, NSW

Career Objective

5th year Data Science Engineering student with strong foundations in software engineering, algorithms, and machine learning. Experienced in building scalable applications, data pipelines, and ML models using Python and Java. Interested in large-scale systems, backend development, and applying software engineering principles to real-world problems.

Education

Bachelor of Engineering (Honours)                                                                                Dec 2021 – Jun 2027
University of Technology Sydney (UTS)
Major: Data Science Engineering | Sub-major: Computer Science

Technical Skills

Languages: Python, Java, C++, JavaScript, SQL, R
Software Engineering: Data structures, algorithms, object-oriented programming, debugging, testing
Systems & Tools: Linux/Unix environments, Git, PostgreSQL, Microsoft Azure
Machine Learning: scikit-learn, neural networks, model evaluation (accuracy, precision, recall)
Web Development: HTML, CSS, JavaScript

Projects

Machine Learning Spam Email Classifier

  • Built a supervised machine learning model using Python and scikit-learn to classify spam emails
  • Performed text preprocessing including tokenisation and vectorisation (TF-IDF)
  • Trained and evaluated models using accuracy, precision, and recall metrics
  • Improved model performance through iterative testing and hyperparameter tuning

Cloud-Based Financial Data Pipeline & Predictive Analytics

  • Designed and implemented a scalable STAR schema data warehouse for financial datasets
  • Developed an end-to-end ETL pipeline using Microsoft Azure to ingest, transform, and store historical gold price data
  • Enabled predictive analysis for stock trends and built dashboards to support data-driven decisions

Tennis Match Prediction Application

  • Built a Python-based application to analyse and predict tennis match outcomes
  • Applied data processing and statistical techniques to improve prediction reliability
  • Collaborated in a team to design and test application features

Web-Based Escape Room Game

  • Designed and developed an interactive web application using HTML, CSS, and JavaScript
  • Implemented logic-based challenges and responsive UI design

Work Experience

Data Insights and Analyst (Junior)                                                                                  

PIP ANZ (Australia) PTY LTD                                                   May 2026 – Present

  • Simplified reports for warehousing team lead
  • Prepared data in Microsoft Fabric using Python notebooks
  • Coded in KQL to join and query tables on a live visual dashboard
  • Compiled dimension requirements for an EOD sales report model

Food and Beverage Attendant                          
Birrong Sports Club                                                                  Jun 2024 – Present

  • Resolved technical and operational issues, including troubleshooting gaming machine faults
  • Collaborated with cross-functional teams (bar, kitchen, security) in high-pressure environments
  • Demonstrated strong communication and problem-solving in customer-facing scenarios

Community Involvement

Member – UTS Bouldering Society                     Dec 2023 – Present

  • Participated in community events and competitions

Member – Professionals Australia                                      Aug 2023 – Present

  • Engaged with professional engineering networks and industry insights

Referees

Available upon request