Michael G.

Experience

• 

  Spectrum

  Nov 2018 - Feb 2019

  Technical Intern

  Part of the Development Team. Working primarily with Python and SQL. Developed a data analytics dashboard using Plotly Dash and commenced work on a data-masking tool (now known as DataMasque).

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  Aurecon

  Feb 2020 - May 2021

  Transport Engineer

  Produced analytics for major infrastructure projects across New Zealand. This work fitted into Business Cases to help in the comparison of transport options. And ultimately, to develop the “Preferred Option”. Examples of metrics analysed include: - Travel time - PAX throughput - Station capacity - Environmental targets - SafetyOther responsibilities included the analysis of outcomes on the business depending on the outcome of an upcoming government election. Also investigated R&D tax return possibilities for current Aurecon projects. Show less

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  Deloitte

  May 2021 - May 2023

  Provided analytics expertise to a range of government clients. Through a combination of secondments and fast-paced projects. Often these projects were highly confidential given the nature of the investigation. Such projects worked on the tracing and quantification of the fraudulent use of funds. Dishonest obtaining of funds combined with a money laundering aspect were common themes of projects.Secondments to clients on a long-term (often over a year) basis were done to provide development to their analytics teams. We were able to form a stronger strategy for these teams. And ultimately develop the tools and capabilities which picked up and prevented fraud for their business. Show less

  • Senior Forensic Analyst

    Jun 2022 - May 2023

  • Forensic Analyst

    May 2021 - Jun 2022
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  Qantas

  Jun 2023 - now

  - Develops ML models using Amazon Sagemaker to prevent fraudulent Frequent Flyer transactions at a 95% accuracy with a false-positive rate less than 1%- Leading end-to-end from proof-of-concept to deployment. Packaged as a RESTful API deployed on AWS cloud - achieving a 0.5 second inference time- Deployed custom ML model on AWS cloud to detect fraudulent Frequent Flyer accounts which are to be flagged for deactivation.- Leads investigations with internal and external partners to develop and mobilise strategies in fraud prevention. Partners include both airline and non-airline partners.- Conducts network analysis for fraud rings using Python/SQLTechnologies used: AWS, Python, SQL, Terraform, Ansible, Jenkins, Airflow, Splunk Show less

  • Senior Software Engineer, Fraud Detection & Prevention

    Jul 2024 - now

  • Software Engineer, Fraud Detection & Prevention

    Jun 2023 - Jul 2024