Dean Marchiori

Consultant Statistician & Applied Mathematician

I’m a specialist independent data science consultant helping science & technology teams innovate faster with data and maths. Not hype. I work with clients on complex problems across applied mathematics, statistical modelling, data analysis & machine learning.

I value long term trust and flexibility over billable hours, and use a unique subscription based model for my fees. If you are interested in hiring me for a project get in touch: dean@wavedatalabs.com.au

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Bio

Dean Marchiori is a statistician and founder of Wave Data Labs an independent data science consulting practice. Dean’s career started in equities and derivatives trading in the aftermath of the GFC before moving on to establish and lead high performance data science teams. His areas of specialisation are in time series modelling & anomaly detection, geospatial analytics, unsupervised machine learning and the R programming language. He is currently co-chair of the Statistical Society of Australia’s section for statistical computing and visualisation and chair of the SSA working group for data science accreditation. Dean obtained his Bachelor of Science in Mathematics with University Medal from Charles Sturt University. He also holds a Master of Applied Finance degree, and a Master of Applied Statistics from Macquarie University where he was awarded the Julian Leslie Prize and served as a sessional teaching academic in the School of Mathematical and Physical Sciences. Dean holds the Accredited Statistician (AStat) qualification from the Statistical Society of Australia and was named one of the top 10 analytics professionals in Australia by the Institute of Analytics Professionals of Australia (IAPA).

Consulting

If you are interested in my work you can read some case studies, or see what my clients have to say about working with me on my consulting page. Below are some recent projects delivered.

Blog

I occassionally write blog posts about data and statistics. Some of my greatest hits are below:

Publications

To view a verified list of my scientific publications see ORCiD

  • Pires et al., (2024). weatherOz: An API Client for Australian Weather and Climate Data Resources in R. Journal of Open Source Software, 9(98), 6717, https://doi.org/10.21105/joss.06717
  • Wilson R, Wickramasuriya R, Marchiori D. An Empirical Modelling and Simulation Framework for Fire Events Initiated by Vegetation and Electricity Network Interactions. Fire. 2023; 6(2):61. https://doi.org/10.3390/fire6020061
  • Marchiori, D. (2022). Meta-Analysis of Clinical Phenotype and Patient Survival in Neurodevelopmental Disorder with Microcephaly, Arthrogryposis, and Structural Brain Anomalies Due to Bi-allelic Loss of Function Variants in SMPD4. medRxiv, 2022-10. https://doi.org/10.1101/2022.10.08.22280875

Open Source

If you would like to see how I code, all of my public projects are hosted on Github

  • Data Science Workflows in R: An introduction to deploying production quality R code [e-book, author]
  • {weatherOz}: An API Client for Australian Weather and Climate Data Resources [R Package, co-author]
  • bluey-search: Does your child explain Bluey episodes to you but you have no idea what episode they are talking about and can’t handle flicking through all 130 of them? Problem solved. [shiny app, author]
  • analysis-flow: Data Analysis Workflows & Reproducibility Learning Resources [resource list]

Talks

Below are some invited talks, workshops and other events of note:

  • 2024-10-22: I was invited to deliver a half-day workshop for WOMBAT2024 the Workshop Organised by the Monash Business Analytics Team (WOMBAT). The title was Turning R code into production quality software. [Resources]
  • 2024-10-21: I co-organised the first OceaniaR Hackathon day in Melbourne, the event had a focus on promoting projects and participation from R users in the Oceania region including Australia, New Zealand and the Pacific Islands. [repo]
  • 2023-12-01: I gave a half-day workshop for the Statistical Society of Australia on Deploying your model code into production with Microsoft Azure [Resources]
  • 2022-11-08: I gave a talk called BlueySearch: how to build and deploy a basic data science backed web app in R at the Siligong Data Tech Meetup in Wollongong. [slides]
  • 2021-01-21: I gave a lightning talk at rstudio::global conference called How reproducible am I? A retrospective on a year of commercial data science projects in R [video]
  • 2021-12-01: I presented at the Statistical Society of Australia’s Early Career and Student Statisticians Career Event 2021 in Sydney.
  • 2021-12-01: I was interviewed on the Keeping Up With Data podcast. [video]
  • 2019-11-28: I gave an invited talk titled Pearls and pitfalls of time series analysis using Google Analytics data at WOMBAT2019 workshop organised by the Monash Business Analytics Team, at the State Library Victoria. [slides]
  • 2018-10-16: I Presented a seminar titled Unsupervised outlier detection systems for e-commerce as part of the SMART Seminar Series at the University of Wollongong. [video]