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)
See all- Agent Prompting Deep Dive & A Canvanaut's Data Science Leadership JourneyMantel Group, Melbourne
Details
Get hyped for the June edition of the Data Science Melbourne meetup. We have two very intriguing topics with two excellent speakers. Come find out how you can get better at agent prompting in AI, and also get lessons from a Data Science leader at Australia's coolest tech company Canva.
Our first topic
Agent Prompting Deep Dive
AI systems are shifting from Q&A assistants to proactive agents that can take action in the world. This evolution demands a fresh approach to prompt engineering. Join us as we explore the differences between traditional prompting and agent-oriented design. Through examples and real-world applications, you'll discover how agent prompting works and why it's becoming essential for unlocking AI's full potential.
Our first speaker
Nicole Ramirez is a senior machine learning engineer consultant at Mantel Group, where she aims to design and build AI solutions that deliver tangible value. With her career evenly split between hands-on machine learning development and AI leadership roles as across Australia and New Zealand, she brings a well-rounded perspective to AI challenges. Nicole is currently fascinated by the emerging world of AI agents and is excited to approach sharing her knowledge about agents through first principles where possible.
Our second topic
My journey to Data Science Leadership at Canva
From spreadsheets to SQL, follow the somewhat accidental journey of a recovering accountant who tripped and fell into data science. Expect life lessons, mostly confessions, but maybe also a thing or two about how data science teams are run at Canva.
Our second speaker
Adrian Jacobs is a Data Science Manager at Canva currently leading two teams in the Marketing Data Science Group
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 hereLocation
Mantel Group
Level 2/452 Flinders St
Melbourne VIC 3000
Follow the sign when you enter and make your way to 2nd floor of the buildingSchedule
5:30 - Networking with Pizzas & Drinks
6:00 - Nicole's talk
6:30 - Q&A for Nicole's talk
6:45 - Adrian's talk
7:15 - Q&A for Adrian's talk
7:30 - More networking
8:00 - Wrap up
