Nov 2020 – May 2022 · 1 yr 6 mos · Auckland, New Zealand

• As a board member of Massey University, Master of Analytics Program:
• Provide advice regarding the Programme’s qualification curriculum, its goals and strategy for growth.
• Provide advice and assistance where possible on strengthening the relationships between the Programme, its staff and students and the professional, governmental and business communities.
• Provide environmental scanning of industry trends in analytics, industry needs and technology developments in the NZ and global context affecting the Programme.
• Provide advice on the development and improvement of the students’ post-experience, following the graduation from the Programme.
• Provide advice on key appointments to the Board as appropriate.
• Identify opportunities through which staff and students can engage with the business community, government and voluntary sectors through placements, mentoring, practical research consulting projects and events.
• Provide a mechanism for promoting the capabilities and reputation of the Programme amongst the professional, government, business and development communities nationally and internationally.

Jan 2020 – May 2022 · 2 yrs 4 mos

• As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive.
• As Direct of Data Science & Analytics,
• I oversee how Visa NZ applies Machine Learning and AI for product offerings, and leverages Analytics to support key business processes and commercial decisions.
• Communicate Data Science strategy, goals, tactics, project plans, and timelines with business stakeholders, to maximise the effectiveness of the Data Science function.
• Established Data Science and Analytics platforms that scale and are leveraged in various Data Science Products, Data Science Decisions, and Research & Development (R&D) initiatives.
• Lead the team to design, research, develop and manage Data Science Products, for product enhancements and customer satisfaction improvements.
• Work closely with senior leaders in the business to define and solve high RoI business problems that matter to products and customers, so called Data Science Decisions.
• Recruit talent and mentor the team as it grows.

Mar 2018 – Jan 2020 · 1 yr 10 mos

Dec 2016 – Mar 2018 · 1 yr 3 mos

Dec 2017 – Apr 2022 · 4 yrs 4 mos · Auckland, New Zealand

• The New Zealand Data Science & Analytics Forum, formed in 2013, is a community of over 3,000 professionals who apply Data Science and Analytics to solve business problems. We explore Data Science and Analytics across different industries, and seek to have a positive influence in New Zealand.
• Appointed as the steering committee member of NZ Data Science & Analytics Forum, a community of over 3,000 professionals who apply Data Science and Analytics to solve business problems.
• Provide technical and career guidance to forum members, plan and lead forum events.

Dec 2016 – May 2022 · 5 yrs 5 mos · Auckland, New Zealand

• For over 21 years, Fraedom has been offering transaction management products and services, including Expense Management and Payment solutions. Today Fraedom is a company with 500 staff, offering services to more than 600,000 organisations and 7 million users across 200 countries globally. In 2018 Mar, Fraedom joins the Visa family.
• As Director of Data Science & Analytics,
• Established, lead and grow the Data Science function, a team of Data Science & Analytics practitioners.
• Define and look after Fraedom Data Science Strategy and Data Science Product Roadmap, and oversee how Fraedom applies Data Science to support key business processes and commercial decisions.
• Lead the team to deliver world-class Data Science solutions, together with Product & Technology groups, including:
• Data Science Decisions: Manage internal Advanced Analytics initiatives to help the business solve key strategic questions and become more data-driven.
• Data Science Products: Design, research, develop and manage Data Science, ML & AI products, to enhance Fraedom product offerings and improve customer experience.

Mar 2016 – Sep 2018 · 2 yrs 6 mos · Auckland, New Zealand

• Co-founded and led WifiAround, a pioneering Data Analytics startup, with a focus on empowering retail establishments through innovative use of data.
• Established the company from the ground up, showcasing entrepreneurial spirit and a proactive approach to business development.
• Implemented a unique business model that leveraged Wi-Fi signals to provide retailers with actionable insights into customer preferences, purchasing behavior, and needs.
• Drove the company's growth and success, demonstrating resilience in navigating the challenges of entrepreneurship.
• Successfully secured partnerships with retail shops and supermarkets, positioning WifiAround as a key player in the retail data analytics space.

Jan 2015 – Jan 2016 · 1 yr · Auckland, New Zealand

Jan 2014 – Jan 2015 · 1 yr · Auckland, New Zealand

Jan 2013 – Jan 2014 · 1 yr · Auckland, New Zealand

Jan 2012 – Jan 2013 · 1 yr · Auckland, New Zealand

Dec 2011 – May 2012 · 5 mos · Paris, France

Jan 2011 – Nov 2011 · 10 mos

Jul 2010 – Nov 2011 · 1 yr 4 mos