Derryn Knife, Data Scientist and Developer in Brisbane, Queensland, Australia
Derryn Knife

Data Scientist and Developer in Brisbane, Queensland, Australia

Member since January 7, 2022
Derryn is a data scientist and subject-matter expert in reliability engineering and survival statistics. He has worked as a manager, project lead, and specialist in the aviation, mining, defense, and utility industries. Derryn has a proven track record of successfully developing and deploying data science solutions that add significant value to organizations.
Derryn is now available for hire


  • BHP Group
    Python, Machine Learning, Statistics, Analysis, Analytics, Data Science, NumPy
  • Self-employed
    Python, REST, APIs, JSON, Databases, Graph Databases, Neo4j, Google Cloud...
  • BHP Group
    Python, Deep Neural Networks, Pandas, Statistics, Survival Statistics...



Brisbane, Queensland, Australia



Preferred Environment

MacOS, Python

The most amazing...

...thing I've built is a Python package, SurPyval, to perform survival statistics in Python.


  • Project Lead

    2018 - PRESENT
    BHP Group
    • Led a team of engineers, maintenance professionals, and data scientists in finding, assessing, and developing solutions to reduce costs and risks.
    • Developed algorithms to predict the time until machines' failures occur and to optimize the recommended interventions to minimize costs.
    • Oversaw the development of an internal web tool with ML features to manage the process of digitizing documents of maintenance activities into a database.
    Technologies: Python, Machine Learning, Statistics, Analysis, Analytics, Data Science, NumPy
  • Lead Developer

    2022 - 2022
    • Developed a tool to aid UBH in delivering training. The tool allowed users to identify the risk of burnout in their teams and identify action plans that could be used to minimize the risk of team members burning out.
    • Performed the role of a senior developer, architect, engagement lead, and back-end developer.
    • Integrated the Neo4j graph database solution and deployed it to the Google Cloud Platform.
    Technologies: Python, REST, APIs, JSON, Databases, Graph Databases, Neo4j, Google Cloud, NumPy, Google Cloud Platform (GCP)
  • Data Scientist

    2017 - 2018
    BHP Group
    • Developed an algorithm to understand the risk of failure of conveyor belts.
    • Created a methodology to predict the cost-optimal time in the future to replace belts of conveyors.
    • Built complex models to predict how changes in machine performance behaviors will impact organizational productivity.
    Technologies: Python, Deep Neural Networks, Pandas, Statistics, Survival Statistics, Value Analysis, SQL, Machine Learning, Analysis, Analytics, Data Science, NumPy
  • Senior Reliability Engineer

    2016 - 2017
    Relken Engineering
    • Analyzed gigabytes of data to extract meaningful insights on which business the company could take clear and effective actions.
    • Led engagements with clients to deliver what they needed.
    • Contributed to an extensive simulation study to help a large aviation organization improve its performance.
    Technologies: Python, Pandas, Consulting, Analysis, Analytics, Data Science, NumPy


  • Reliability Engineering Tool

    A python-based web application developed with Flask, Neo4j, and MongoDB, available on the Google Cloud Platform to perform statistical analysis of time-to-failure data for maintenance and reliability engineers. The product uses the SurPyval, a survival analysis package I also developed.


  • Languages

    Python, SQL
  • Libraries/APIs

    Pandas, NumPy
  • Paradigms

    Data Science, REST
  • Other

    Statistics, Survival Statistics, Analysis, Analytics, Machine Learning, Deep Neural Networks, Google Login, Engineering, Consulting, Value Analysis, APIs, Deep Learning
  • Frameworks

  • Platforms

    Google Cloud Platform (GCP)
  • Storage

    Google Cloud, Graph Databases, MongoDB, Neo4j, JSON, Databases
  • Tools

    Stripe Checkout


  • Master's Degree in Reliability Engineering
    2014 - 2015
    University of Maryland - College Park, MD, USA
  • Bachelor's Degree in Aeronautical Engineering
    2006 - 2010
    University of New South Wales (UNSW Sydney) - Canberra, Australia


  • DeepLearning.AI TensorFlow Developer
    MARCH 2022 - PRESENT
  • Deep Learning Specialization
    MAY 2021 - PRESENT

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