Copyright © 2013
Data Analysis Australia

Consultants





Petra Roberts  petra(at)daa.com.au
BSc (Hons) (ECU)
Consultant Statistician
DAA Consulting Experience: 11 years
Total Industry Experience: 12 years

Petra's expertise in applied statistics includes areas such as time series analysis, modelling and surveys.  She has specialised in all aspects of survey design and analysis, such as the development of questionnaires and survey material, stakeholder consultation, analysis and the reporting of results.  Petra has a particular focus on quality and accuracy of results, and presenting information in a form tailored to suit her client's needs.  During her time at Data Analysis Australia, Petra has managed and contributed to projects for a wide range of private and public sector organisations, including the Department of the Premier and Cabinet, the Department of Industry and Resources, the Insurance Commission, Edith Cowan University and the City of Subiaco.  Specific examples of Petra's experience include designing customer satisfaction surveys, analysing data to understand the different forms of bullying experienced in schools across Western Australia, assessing the retirement intentions of the ageing workforce, and analysing the relationship between the microbial content of honey and plant species.

  



Taryn Major taryn(at)daa.com.au
MAppStat (Macquarie) BSc (Monash) BEng (Curtin)
Consultant Statistician
DAA Consulting Experience: 5 years
Total Industry Experience: 5 years

Taryn’s areas of expertise include forecasting, survey design and analysis, and optimisation and risk analysis.  She joined Data Analysis Australia in 2008, and is a highly valued member of any project team.  Having previously worked as a mechanical engineer in the mining industry, Taryn has developed valuable project management skills and experience in the resources sector.  She brings this experience to Data Analysis Australia, where she has worked for both government and private agencies in industries as diverse as energy, water, health, and finance.  Examples of Taryn’s projects include modelling workforce size in a government agency in order to forecast future training demand and modelling infection rates to identify possible trends.  She has also worked on developing and implementing a methodology for estimating energy demand when the available data is known to underestimate the true value, and developing, implementing and analysing a benchmarking survey for park management agencies.  Prior to her commencement, Taryn completed a Master of Applied Statistics, specialising in biostatistics, at Macquarie University.





   



Prudence Thompson  prudence(at)daa.com.au
BSc (Hons) (UWA)
Consultant Statistician
DAA Consulting Experience: 5 years
Total Industry Experience: 5 years

Prudence has gained a wealth of experience in statistical analysis, modelling and forecasting in a commercial setting at Data Analysis Australia.  She has worked on and managed several projects in environmental statistics for clients including Western Botanical, Cliffs Natural Resources and Chevron.  Examples of this work include developing a program to effectively monitor plant condition, using ordinal regression to assess whether mining has adversely affected plant condition, and planning an experimental design to assess alternative ways of rejuvenating mining affected areas.  On an annual basis, Prudence contributes to the analyses and reporting of Western Australian road crash data for the Office of Road Safety, and crime and unemployment rates for the Parliamentary Library of WA.  These are vital publications for assessing community safety and for use in policy planning.  Prudence also has experience in designing and analysing surveys for many applications, with examples including the WorkCover WA Injured Worker Survey and various community perception surveys for liquor licensing applications.  Before joining Data Analysis Australia, Prudence specialised in statistics and biophysics in her studies at the University of Western Australia.





 


Information Management and Data Mining

Emma Smith emma(at)daa.com.au
BSc (Hons) (Curtin) 
Consultant Statistician
DAA Consulting Experience: 4 years
Total Industry Experience: 4 years

Emma has been an integral member of project teams at Data Analysis Australia  since her commencement in 2008, and has managed projects from a large variety of areas.  This has broadened her experience substantially, and her expertise stretches from forecasting population demographics and power demands for electricity providers, through to the statistical review of environmental studies.  She has also gained expertise in the design and analysis of sample surveys including weighting and standard error calculation for stratified data, and her attention to detail and commitment to quality assurance are of the highest standard.  Emma has developed a particular interest and proficiency in modelling and simulation of complex processes, such as commercial transport scheduling.  Examples of the diverse range of clients Emma has worked for include the Fremantle Port Authority, CSL Biotherapies, the Department of the Attorney General, Australian Rain Technologies, Synergy and Horizon Power.  Prior to joining Data Analysis Australia, Emma worked as a sessional academic at Curtin University of Technology whilst also conducting research in the area of applied mathematics and optimisation.


Yuichi Yano yuichi(at)daa.com.au
BSc, MSc (ECU)
Consultant Statistician
DAA Consulting Experience: 3 years
Total Industry Experience: 3 years

Since joining Data Analysis Australia in 2010, Yuichi has developed expertise through working with a variety of clients from different sectors, on projects covering a diverse set of application areas.  He has used modelling techniques including linear models and generalised additive models in applications as varied as estimating ground moisture concentration and modelling the throughput of an ore grinding circuit.  As a particular example, Yuichi has been involved in the development of an electricity consumption forecasting tool for Horizon Power, where he analysed seasonal change in electricity consumption, and corrected for the seasonal effects to estimate underlying trends in power usage.  Yuichi also forms part of a project team that develops random draw programs to deliver unbiased random draw results, working effectively under the constraints of multiple security protocols.  Yuichi gained experience in geostatistical modelling during his Master’s degree at Edith Cowan University, where he analysed the relationship between air pollutant concentration and asthma hospitalisation risk in Perth.





Dr Alethea Rea alethea(at)daa.com.au
BSc (Hons) (Canterbury)PhD (Auckland)
Consultant Statistician
Treasurer, Statistical Society of Australia (WA Branch)
DAA Consulting Experience: 2 years
Total Industry Experience: 3 years

Alethea joined the Data Analysis Australia team in May 2011, and has since worked for a range of clients across a number of industries.  Her project work varies from forecasting and modelling, through to statistical review and spatial analysis. Examples of Alethea's work include a major review of a forecasting model for electricity consumption for Synergy, and research into tourism expenditure and its economic impact on employment in Queensland. She is currently managing projects such as the estimation of the number of man-hours a maintenance project will require for AusGroup Company, and the analysis of mineral sample assay results for Western Refractories. Alethea has been involved in multiple projects for Western Power, and leads the mapping of assets and demographic variables that this work requires. Alethea holds a PhD in Statistics at the University of Auckland, and her extensive theoretical background has allowed her to work across a wide range of applications.  Alethea’s PhD thesis focussed on developing techniques for evolutionary biologists, and prior to commencing her PhD, she worked as an actuarial analyst for a period of 18 months.

 

Elyse Corless elyse(at)daa.com.au
BSc (Hons) (Murdoch) 
Consultant Statistician
Young Statisticians’ Representative, Statistical Society of Australia (WA Branch)
DAA Consulting Experience: 1.5 years
Total Industry Experience: 1.5 years

Data Analysis Australia welcomed Elyse to the team in November 2011, and she has considerably enhanced her Consulting skills during this time. Her area of expertise is in applied statistics, and she is a valuable contributor to all stages in the progression of a project, from design and analysis to review and quality assurance of reporting. The broad range of projects that Elyse has contributed towards include repeated measures analysis to test the effectiveness of vaccines, the analysis of community surveys with regards to liquor licencing applications, and the development of a wind farm generation forecast model for Western Power. Elyse graduated from Murdoch University with Honours in Mathematics and Statistics in 2011. Her Honours thesis was in the area of causal inference, which has applications to a variety of fields, such as medical research. Preceding her Honours year, Elyse completed a double degree majoring in Conservation Biology, Environmental Restoration and Mathematics and Statistics.

 


 


 


 



 


 

Philip Vlaskovsky philip(at)daa.com.au
BSc, PGDipSci, MSc (Hons) (Auckland) 
Graduate Consultant Statistician
DAA Consulting Experience: 1.5 years
Total Industry Experience: 1.5 years

Philip joined Data Analysis Australia in January 2012, and has enjoyed applying his technical skills and statistical knowledge in a wide range of applications. He has been involved in project work for industries such as water, power and market research, and across a selection of Government Agencies, including the Department of Agriculture and Food, and the Office for the Arts. An example of Philip’s involvement is in the development of a proportional hazards model for the analysis of honey bee survival data, where it was of interest to assess the quality of bee feed in terms of longevity. Another project to which Philip contributed was the analysis of sampled library book stock, to provide strategic information relating to the compensation of Australian authors and publishers for having titles available in public lending libraries. Philip has a comprehensive academic background at the University of Auckland, including a Bachelor of Science in Applied Mathematics and Chemistry, a Postgraduate Diploma in Applied Mathematics, and a Masters Degree with Honours in Statistics.
 


 



 



 

Karl Beidatsch karl(at)daa.com.au
BSc (Hons) (Curtin)
Graduate Consultant Statistician
DAA Experience: 1.5 years
Total Industry Experience: 1.5 years

Karl joined the Data Analysis Australia team in November 2011, and he has expanded his repertoire of statistical knowledge in several projects, from initial exploratory analysis to review and report preparation.  Examples of the project work Karl has contributed towards include the development of a predictive model for metropolitan Perth’s water consumption and an exploration of the impact of residential power saving methods.  Karl graduated from Curtin University with a Bachelor of Science in Mathematical Sciences with Honours in 2012.  His Honours thesis involved investigating statistical machine learning methods, as applied to ecological and habitat modelling.


 



 



 

Jennifer Bramwell jennifer(at)daa.com.au
BSc/BCom (Hons), MSc (Hons) (Auckland)
Graduate Consultant Statistician
DAA Experience: <1 year
Total Industry Experience: <1 year

Jennifer joined Data Analysis Australia in November 2012 and has been gaining experience through geocoding responses to a household travel survey, and extracting and mapping demographic data.  Jennifer completed a double degree in Commerce and Science with Honours at the University of Auckland, majoring in Economics, Finance, Pure Mathematics and Statistics.  She followed this with a Masters degree in Statistics.  Prior to her commencement at Data Analysis Australia, Jennifer also conducted project work involving acquisition valuation, comparison between rent versus buy deals for a record company, applying queuing theory to improving staffing schedule at a Cardiothoracic Intensive Care Unit and using copulas to model dependence for risk assessment purpose.