Vista Group is a global leader in software and technology solutions across the film industry sectors of distribution, exhibition, and moviegoers.As part of the Product, Innovation, and Marketing pillar, I lead a team of data scientists, analysts, and machine learning engineers responsible for creating data-driven product features, developing, testing, & deploying ML models, building product dashboards, and generating consumer insights from data captured by cinema point-of-sale systems and loyalty programs.Examples include:- Recommendation systems for cinema content and concession items- Deep learning models for generating movie embeddings & identifying similar titles- Lookalike modeling for digital audience expansion- Propensity score matching & causal inference for estimating loyalty program impact- Churn and customer lifetime value prediction

Movio, part of the Vista Group, is the global leader in marketing and campaign management for the cinema industry. Supporting the world's most comprehensive source of moviegoer data, our mission is to connect all moviegoers with their ideal movie.Built Movio's data science practice - responsible for building machine learning models, creating in-product reporting and analysics, and providing industry thought leadership.Lead the creation, development, and support of Movio Research – a leading cinema audience intelligence platform licensed by four of five major studios.

Callaghan Innovation is a government agency responsible for accelerating the commercialisation of innovation in New Zealand. The ICT group consisted of fourteen scientists and engineers carrying out industry-relevant research in the areas of smart materials, data science & analytics, and assistive devices & serious gamingResponsible for group financial performance, including commercial funding targets, the allocation of group strategic investment funding, and project delivery Developed and implemented a group business development strategy

Managed a team of five research scientists – developed and implemented team strategy, allocated internal funding, and ensured project deliveryIdentified, developed, and maintained strategic relationships in the New Zealand ICT sector

Applied computational modelling and analysis to problems in analytics, medical devices, optics, sonar, and aerospace compositesDesigned and managed collaborative industry research projectsCo-supervised postgraduate students at the University of Auckland