Derryn Knife
Verified Expert in Engineering
Data Scientist and Developer
Brisbane, Queensland, Australia
Toptal 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.
Portfolio
Experience
- Python - 7 years
- Pandas - 7 years
- Machine Learning - 6 years
- Statistics - 6 years
- Data Science - 5 years
- SQL - 3 years
- Google Cloud - 3 years
- Deep Neural Networks (DNNs) - 2 years
Preferred Environment
MacOS, Python
The most amazing...
...thing I've built is a Python package, SurPyval, to perform survival statistics in Python.
Work Experience
Data Engineer
Legal Business Services, LLC
- Developed a competing risk software module in Python to help predict the risk of legal finance contracts defaulting.
- Explored data and developed notebooks on the Databricks platform.
- Provided input into building a cashflow model from competing risk survival model.
Lead Developer
Self-employed
- 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.
Project Lead
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.
- Worked on several projects that required analysis from large and disparate datasets to analyze and visualize findings.
- Tasked with communicating findings and recommending future courses of action once datasets were analyzed and visualized.
Data Scientist
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.
Senior Reliability Engineer
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.
Experience
Reliability Engineering Tool
Education
Master's Degree in Philosophy
University of New England - New South Wales, Australia
Master's Degree in Reliability Engineering
University of Maryland - College Park, MD, USA
Bachelor's Degree in Aeronautical Engineering
University of New South Wales (UNSW Sydney) - Canberra, Australia
Certifications
DeepLearning.AI TensorFlow Developer
Coursera
Deep Learning Specialization
Coursera
Skills
Libraries/APIs
Pandas, NumPy, Matplotlib, React
Tools
Stripe Checkout
Languages
Python, SQL, Python 3
Frameworks
Flask
Platforms
Google Cloud Platform (GCP), Databricks
Storage
Google Cloud, Graph Databases, MongoDB, Neo4j, JSON, Databases
Paradigms
REST
Other
Statistics, Analysis, Analytics, Data Science, Data Analysis, Machine Learning, Deep Learning, Data Visualization, Artificial Intelligence (AI), Data Management, Deep Neural Networks (DNNs), Google Login, Engineering, Consulting, Value Analysis, APIs, Data, Back-end, Front-end
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