Our experience using R in real business application means we are ideally placed to show you how to get optimum value from R, selecting the right tools for your specific needs. We use R daily for visualisation, data summarisation, data mining, statistical modelling and operations research techniques.
Dr Kristy Su, Chief Statistician, R Consultant
PhD Statistics and Masters in Science – University of Auckland
With a PhD in Statistics and a Masters in Science (with First Class Honours), Kristy is a highly qualified data scientist and our Chief Statistician. An expert in statistical methodology, she leads the technical development of cutting-edge solutions for our clients. She also manages client projects and coaches our talented team of data scientists.
Kristy has been involved in the design of training materials for the use of R Analytics. She has delivered training to clients including: Mighty River Power and EE (a communications company based in the U.K). She is a member of the Auckland R User Group and the New Zealand Analytics Forum.
Dr. Lisa Chen, Chief Analytics Officer, R Training Consultant
PhD in Statistics – University of Auckland, New Zealand Bachelor of Science (1st class honours) – University of Auckland, New Zealand
Lisa is highly skilled in advanced statistical modelling and operations research. Lisa is a natural teacher and specialises in teaching people how to get the best from R for insightful data analysis and data visualisation.
Lisa has delivered training to Oracle APAC as well as to various clients in New Zealand. She is an active member of the R community, and part of the Auckland R User Group and New Zealand Analytics Forum.
She has extensive experience using R including designing solution-based models for complex optimisation problems, and analysing large-scale datasets in R. Her experience includes: asset lifecycle management, profitability analysis, data mining, customer churn analysis plus solution design to optimise task scheduling and personnel allocation.
Lisa also has 7 years teaching experience at the University of Auckland covering various topics, including theoretical and applied statistical modelling (in R).