Con is a statistician and marketing scientist. His has published his work in loyalty, branding, human machine learning, research methodology, health care and psychopathy. His PhD focuses on applied methodologies, with particular emphasis on loyalty programs, big data and segmentation.

He has consulted extensively for the finance industry, FMCG, car manufacturing and loyalty programs. His work has realised significant gains in both market share and increases in brand equity, especially in the building of predictive models for scoring large databases with various propensity models. These range from models that predict the next best offer, NPS increases, price setting in competitive market, optimising consumer choices as well as the usual acquisition and churn models for campaign management.

As a result, Con is considered one of the most prominent experts in quantitative methods and marketing science from both applied and theoretical perspectives in Australia. He is one of the most sought after public speakers both locally and globally on the subjects of predictive modelling, marketing, market research methods and complex big data modelling.

Con is an accredited statistician by the Statistical Society of Australia, a certified market researcher by the Market Research Society of Australia, a certified Lean Six Sigma Black Belt, and holds a PhD in Marketing Science and Behavioural Theoretics under Professor Jordan Louviere, the world's recognised leader in Choice Modelling, Segmentation and Predictive Analytics.