I am a civil engineer and social scientist with a PhD in business. I manage the data science team at a regional water utility in Australia. My task is to create value by creating useful, sound and aesthetic data products.

On this blog, I share my experiments in the R language in three areas:

Peter Prevos delivering international keynote at asset data conference in Auckland, July 2017.

Peter Prevos presenting the international keynote at asset data conference in Auckland, July 2017.

Data Science Publications by Peter Prevos

Prevos, P. (2017). Lifting the ‘Big Data’ Veil. Creating Value through Applied Data Science. Water E-Journal, 2(1), 1–5. DOI 10.21139/wej.2017.008.

Prevos, P. (2016). 2016 HBT Performance Reporting: Using Virtual SCADA Tags to Facilitate Data Analysis. OzWater. Melbourne: Australian Water Association.

Prevos, P. (2015). Visualising Water Quality: A Graphical Index for Drinking Water System Performance. OzWater. Adelaide: Australian Water Association.

Prevos, P., & Sheehan, D. (2015). Health-Based Targets Performance Reporting. Water, 42(7), 64–66.

Water utilities ready for next wave of SCADA data analysis (2016), interview with Australian Water Association.

I am currently working on a book that explains how to use the R language to solve problems for water utilities.

Peter Prevos: Data Science for Water UtilitiesGithub Repository

All the code published on these pages can be accessed through my GitHub repository.