
What we’re about
This is a group for anyone interested in 'Data Science'. We are not quite sure what the exact definition of a Data Scientist is, but if you deal with something generally related to converting data into useful insight then you will hopefully benefit from joining the group.
Whether you’re in business, academia, or government, and whether you’re an analyst, data miner, programmer, student, electrical engineer, computer scientist, physicist, etc, and you work with data to generate insights, build predictive models, build optimisation models, build reports/dashboards/visualisations, automate analyses, etc, using python, R, SQL, C/C+, Java, Tableau, Excel, Hadoop, etc, and you care about doing it right, efficiently, repetitively, optimally, visually, etc, then join us!
We meet every 6 weeks or so with normally 2 talks, one being of a technical nature. The evening is also for networking over beer and pizza and afterwards we normally continue the discussions down the pub.
*due to demand, we now have morning and lunchtime meetups.
The size of the group means we are reliant on our sponsors to put our events on. Please support them in return:
University of Melbourne
Bachelor of Science majoring in Data Science-https://study.unimelb.edu.au/find/courses/major/data-science/
Master of Data Science - https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/
La Trobe University - Master of Data Science
https://www.latrobe.edu.au/courses/master-of-data-science
Monash Energy Institute
https://www.monash.edu/energy-institute/home
Upcoming events
1

Flavours of Data Science: Economics & Computer Vision
Vanguard Office, lvl 13 130 Lonsdale Street, melbourne, AUDetails
Welcome back to our November edition of Data Science Melbourne. We are in for a treat this evening as we hear about two very special topics, definitely not your run of the mill flavours of data science. We will get to hear about two niche flavours of Economics and Computer Vision from two experts in the respective fields.Our first topic
Five Ideas from Economics for Data Scientists — Surprising Lessons from the Dismal ScienceThere is nothing so practical as a good theory.” — Kurt Lewin
Economics might be the dismal science, but for data scientists it’s surprisingly useful. Greg explores five classic economic ideas—illustrated through real examples—that shed light on how we design metrics, build teams and shape our careers in the age of Agentic AI.Our first speaker
Dr Gregory Hill leads the Data, Analytics and AI team within AustralianSuper’s Strategy & Transformation function, shaping how the Fund scales advanced analytics and data-driven decision-making. He is also an Adjunct Lecturer at Melbourne Business School, where he teaches Leading Data and AI Transformations in the MBA program. With over 25 years’ experience across technology, analytics and data science, he’s spent his career secretly using economics to help organisations turn data into better decisions.Our second topic
Computer Vision: From Potential to PracticeJoin us for an exploration of Computer Vision, where we'll unpack this technology and explain what it is and how it works. We'll explore some of its more common applications, from transport and industrial use cases, through to some more unconventional applications that demonstrate its true versatility and potential. Finally, we'll wrap up by looking at the most significant recent innovations and research advancements that are pushing the boundaries of what computer vision can do even further.
Our second speaker
Prof. Phil Bolton (GAICD): With over two decades of consulting experience across APAC and North America, Phil has experience delivering AI/ML projects across a wide range of industries. Over the last few years his passion has turned to designing Computer Vision solutions. He’s the Co-Founder of “We3 AI”, an AgTech business focused on Computer Vision applications in Agriculture, and as the Founder of “NEON Data & AI” he specialises in designing tailored Computer Vision solutions.Our Sponsor:
A big thank you to our new sponsor, Tech & Data People, for their support and for providing us with food and drinks for this event.Tech and Data People (TDP) are a leading provider of recruitment services specialising in Technology and Data Analytics. With a dedicated team of experienced recruiters and an industry-leading network of professionals, they excel in connecting top talent with leading organisations across Australia. For more information head here
Location
Huge thanks to Vanguard Australia for supporting the meetup and hosting this event at their offices
Wesley Place,
Level 13,
130 Lonsdale street,
Melbourne 3000Schedule
5:30 - Networking with Pizzas & Drinks
6:00 - Greg's talk
6:30 - Q&A for Greg's talk
6:45 - Phil's talk
7:15 - Q&A for Phil's talk
7:30 - More networking
8:00 - Wrap up86 attendees
Past events
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