Jun 2023 – Nov 2024 · 1 yr 5 mos · Auckland, New Zealand

• Led cross-functional collaboration to drive data-driven innovation and generate multimillion dollars of incremental gross margin from data and AI solutions.
• Developed and executed a data and AI strategy aligned with organisational goals, defining product roadmaps based on market needs.
• Established data and AI governance frameworks, measured performance through key metrics, and drove organisational change promoting data-driven decision-making.

Jul 2022 – Jun 2023 · 11 mos · Auckland, New Zealand

• Developed decision intelligence to optimise Spark NZ's wireless network capacity.
• Identified regions for smarter network investments to enhance customer experience.
• Utilised machine learning techniques to drive wireless broadband penetration.

Jul 2021 – Jun 2023 · 1 yr 11 mos · Auckland, New Zealand

• Led a cross-functional, distributed team at Spark New Zealand to build data products and deploy AI/ML systems.
• Created outcome-oriented product roadmaps, defined & measured OKRs, and aligned with network, marketing, and operations squads.
• Received nominations in "The Enabler", "The Rock", and "Kaiarahi e te Kaizen" categories at POSCARS for contributions at Squad, Tribe, and Spark levels.

Sep 2020 – Aug 2022 · 1 yr 11 mos · Auckland, New Zealand

• Developed machine learning models for product churn propensity, upsell propensity, and fraud risk predictions for Spark New Zealand.
• Utilised Spark and Skinny broadband data to drive insights and recommendations for business growth.
• Achieved measurable impacts on revenue and risk mitigation through data-driven decision-making.

Oct 2018 – Sep 2021 · 2 yrs 11 mos · Remote

• Trained and mentored individuals and corporate cohorts in Data Science remotely.
• Blended self-paced learning with face-to-face interactions to empower learners.
• Received an overall session rating of 4.55/5 for knowledge and teaching methods.
• Fostered a supportive learning environment at GreyAtom, showcasing patience and expertise.

Oct 2018 – Sep 2020 · 1 yr 11 mos · Auckland, New Zealand

• Collaborated with clinicians, business analysts, and data analysts to solve operational and clinical issues using data science techniques.
• Extracted medical entities from radiology reports using Amazon Comprehend Medical API and visualised the data in Kibana.
• Trained deep learning models to identify sleep apnea events in polysomnography sleep studies.
• Developed predictive time series models for Emergency Department arrivals.

May 2017 – Sep 2018 · 1 yr 4 mos

• Collaborated with researchers to design and develop solutions, enhancing research performance and productivity.
• Conducted workshops and provided personalized support to upskill researchers in data science techniques.
• Nominated for Vice-Chancellor’s Excellence Awards 2018 for outstanding contributions to the field.

Jan 2017 – Apr 2017 · 3 mos

• Developed training resources and mentored research students in "Digital Skills and Scholarship for Researchers" workshop at The University of Auckland.
• Created engaging curriculum to enhance professional development and digital skills for students in the Department of Anatomy and Medical Imaging.
• Implemented innovative teaching methods to foster a collaborative learning environment and drive student success.

Mar 2016 – Dec 2016 · 9 mos

• Mentored researchers in Medical Sciences on computer programming skills.
• Conducted tutorials on software construction for undergraduates.
• Marked and assessed Java based assignments for under-graduate students.
• Demonstrated labs for computer science students.

Nov 2015 – Dec 2017 · 2 yrs 1 mo · Auckland, Auckland, New Zealand

• Led development of PowerBrick XGateway monitoring feature for predictive fall detection using machine learning.
• Implemented AlarmNZ XML-IP protocol in Python for seamless integration.
• Enhanced Web Interface using LuCI for improved user experience.
• Integrated Bluetooth Low Energy (BLE) 4.0 Beacon with XGateway for advanced functionality.

Jan 2013 – Jul 2015 · 2 yrs 6 mos

• Developed scripts for manual launching of signalling application on virtualised cluster in OpenStack.
• Adapted applications to upgraded versions of OpenSAF (AMF).
• Coached team members on tools used for development, debugging & testing in OpenStack.

Apr 2011 – Dec 2012 · 1 yr 8 mos

• Reduced network outages by 30% and implemented feature enhancements in 40+ sites for AT&T, Sprint & Verizon.
• Led the SSG team in weekly status meetings and developed feature enhancements for GSM & CDMA MSC server switches.
• Provided technical consultation to design team and analysed complex VSE platform signalling issues.

Dec 2008 – Mar 2011 · 2 yrs 3 mos

• Conducted bug fixing and unit testing for the Advanced Telecommunications Computing Architecture (ATCA) Versatile Service Engine (VSE) project.
• Gained hands-on experience in the Backup and restore framework utilised in VSE.
• Executed VSE Baseline/regression testing as part of the product verification team.