Skills and services

I have a lot of experience applying data analysis to understand complex issues, solve real-world problems, and communicate the results. My approach is to first get a deep understanding of the data and how it was collected, before analysing it. I am a ‘hands on’ data analyst and I believe that working directly with data gives better results than relying on automated tools.

Predictive modelling: Developing machine learning models that can predict or classify from new data.

Causal inference: Using specialised statistical and econometric techniques to estimate impacts caused by a change or intervention.

Geospatial analysis and visualisation: Analysing and making maps from data with geographic attriibutes.

Forecasting: Developing time-series models to produce future forecasts and understand the uncertainty of those projections.

Automated data analysis and reporting pipelines: Developing code that automatically turns raw data into usable summaries and charts.

Data cleaning and wrangling: Using code-based tools to turn messy, diverse datasets into usable data.

Data visualisation: Creating clear and concise charts for reports, and interactive data visualisations and dashboards for the web.

Expert R code development: I use R for all aspects of data analysis and have developed custom R packages.

I have a PhD in economics and over the past 20 years I have applied economics to developing and evaluating government policies, studying competition in markets, and analysing outcomes for communities. I have gained experience with the key issues in many sectors including transport, infrastructure, travel and tourism, ICT, health, and social services. I enjoy diving in to a new sector and learning about its institutions, issues, relationships, and stakeholders.

Cost-benefit analysis: CBA is a rigorous quantitative framework for making decisions and for evaluation. I develop and apply CBA models to help understand outcomes and tradeoffs, and to quantify value created by investments and interventions.

Analysing competition and market outcomes: I have a long interest in competition economics and use its tools to understand where markets are delivering good outcomes and where they are not. I have provided economic input to merger and acquisition analysis and regulatory investigations.

Evaluating government policies and investments: Government interventions can have complex impacts on people, businesses, the environment, and markets. I use economic tools to help understand these impacts, both before and after they are implemented.

Industry case studies: I enjoy doing deep research into industry structures, outcomes, and trends, and illustrating these with data.

Interpreting data and trends: Economics provides coherent frameworks for making sense out of quantitative data, which I use to help interpret data and explain it to people.