Skills
Summary
Websites
Work History
Education
Accomplishments
Generic

Bryce Boyd

Seacombe Heights,Australia

Skills

  • Python programming
  • Machine learning
  • SQL databases
  • Statistical analysis
  • ETL development
  • Big data processing
  • Multivariate analysis
  • Statistical software
  • Conducting research

Summary

Knowledgeable and results-focused data professional with a strong foundation in data analysis, machine learning, and statistical modelling. Experienced in designing, building, and optimising complex data pipelines and ETL processes, with proficiency across Python, SQL, and modern cloud platforms. Skilled at uncovering patterns and trends through advanced statistical techniques, developing predictive models, and delivering clear, actionable insights through effective data visualisation. Known for adapting quickly to evolving analytical needs, collaborating effectively across teams, and creating robust, scalable data solutions that support informed business decisions.

Work History

Data Scientist (Casual)

Australian Wine Research Institute
Adelaide, SA
02.2022 - Current
  • Advised on data systems, analytics workflows, and integration requirements.
  • Automated data processing pipelines and implemented outlier/error-detection frameworks.
  • Key Presenter at the Australian Wine Technical Conference (“In the Wine Light”).
  • Presenter at the Australian Centre for Data Science industry research event.
  • Contributed to Grow Strong workshops on technology adoption and industry innovation.

Consultant

Phoenix ICT
06.2024 - 12.2024
  • Technical advisement and report writing regarding possible technological adoptions and processes such as DevSecOps.

Senior Data Engineer

Avanade
11.2020 - 02.2022
  • Designed and implemented scalable data pipelines to enhance data accessibility and reliability.
  • Re-architected national data environment, improving performance and compliance.
  • Managed stakeholder engagement across multiple teams to ensure end-to-end integration.
  • Data engineering of pipelines using SSIS, PowerShell and SQL and creation of dashboards using PowerBI
  • Designed and delivered a secure, near real-time Power BI dashboard to visualise sustainment readiness data for a live operational support tool.

Data Scientist

Department of Health
01.2020 - 11.2020
  • Analyzed health data trends to support public health initiatives and policy development.
  • Developed predictive models using machine learning techniques to improve patient outcomes.
  • Quickly respond to the needs of the National Incidence Room for ongoing analytics of COVID-19 infections and their impacts.

Machine Learning Engineer

GamerAI
05.2018 - 08.2019
  • Data visualisation and presentation
  • Construction of computer vision models
  • Statistical analysis
  • Construction of data pipelines using cloud technology (Google and AWS)
  • Construction of recommendation models using Tensorflow and Kera
  • Documenting and reporting on analyses
  • Constructed a custom Neural Matrix Factorisation Recommender model, which achieved over 99% accuracy using Tensorflow.
  • Constructed a Convolutional Neural Network to analyse screen elements, which achieved over 99% accuracy.
  • Presented statistical findings and prototype models to the Minister for Trade, Tourism and Investment and his staff to gain funding under research and development.

Education

Ph.D. - Applied Statistics

Queensland University of Technology
Brisbane, QLD
01-2026

Bachelor of Science - Mathematics

Flinders University
Adelaide, SA
12-2021

Bachelor of Science - GIS

Flinders University
Adelaide, SA
07-2013

Accomplishments

  • Led AGSVA vetting transformation, delivering secure uplift of critical data infrastructure.
  • Directed COVID-19 pharmaceutical analytics for the National Incident Response Team.
  • Delivered decision-support tools for CASG.
  • Developed machine learning models adopted for national health and agricultural policy discussions.
  • Presented AI research at the Ministerial level and national data science forums.
Bryce Boyd