Dean Marchiori
Statistician | Principal Data Scientist
I’m a specialist independent data science consultant helping science & technology teams innovate 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
Bio
Dean Marchiori is an applied statistician and founder of Wave Data Labs an independent data science consulting practice. He is co-chair of the Statistical Society of Australia’s section for statistical computing and visualisation. Previously Dean was a sessional teaching academic in the School of Mathematical and Physical Sciences at Macquarie University. His areas of specialisation are in time series modelling & anomaly detection, geospatial analytics, unsupervised clustering methods and the R programming language. 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. 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.
- 🕵 Anomaly detection and cluster analysis for financial crime detection: I built an automated system to detect suspicious companies and complex shell relationships.
- 🔥 Australian Bushfire Risk Analysis & Mapping: This interactive analysis was the first of its kind to highlight bushfire planning risk for the entire Australian mainland and recieved nationwide media coverage.
- 🦟 Data Systems and Analytics for Vector-Borne Disease Threat Reduction: I partnered with EcoHealth Alliance on a major scientific research project focused on two WHO priority zoonoses, Rift Valley fever virus and Crimean-Congo hemorrhagic fever virus.
- 👶 Analysis and mapping of access to Assisted Reproductive Technologies: Did you know over half a million Australians live more than 240km from an Assisted reproductive technology clinic and would likely have to sleep nearby in order to visit.
Blog
I occassionally write blog posts about data and statistics. Some of my greatest hits are below:
- 🌏 Geolocating Sydney’s weirdest property: Using Open Street Map and R to geolocate a tweet of Sydney’s strangest house.
- 🥊 Man vs Machine Learning: I went head-to-head with Microsoft’s AutoML platform in a predictive modelling challenge - and won! (sort of)
- 🔧 Integrating R with Modern Tech Stacks: A Practical Guide to Using R and Docker for Integrating Statistical Analysis into Modern Tech Stacks
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]