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- Analytics Mastery & Gen AI in Patient CareAWS Melbourne Office, Melbourne
Details
Welcome back to an action packed April edition of the meetup. We will be hearing from two incredible speakers about two very interesting topics across two very different areas of Data Science. There's always something for everyone at Data Science Melbourne!
Our first topic
Why Rethinking Your Title (and 3 Other Habits) Makes You More ValuableAnalytics is full of brilliant minds—but many of them are undervalued. This talk explores four field-tested levers that boost your value as analytics professionals, starting with one you control today: your job title. When you label yourself differently, you think differently. You'll also learn three more habits to reduce the gap between data and actual business impact.
Our first speaker
Minh Lam is an AI consultant with over 15 years of experience helping organisations unlock more than $40M in measurable value. With a background spanning energy, banking, FMCG, and retail, he focuses on embedding AI into core business processes to drive profit, streamline operations, and shape future-ready strategies.Our second topic
The Transformative Potential of GenAI in Healthcare: Reimagining Workflows and Patient Care.This session will explore the exciting possibilities of GenAI and its potential to revolutionise healthcare. We'll step back to look at the big picture, from speeding up drug discovery and making clinical trials more effective, to customising treatments for individual patients and monitoring them remotely. The focus will be on how GenAI is fundamentally changing the industry, not just making current tasks faster.
Our second speaker
Paridhi Mishra is an AI/ML leader with several years of industry experience in software engineering and data science ranging from tech, mining, retail, ecommerce and healthcare sector. As Head of AI and ML at EBOS, Paridhi led healthcare innovation through AI & GenAI initiatives. At Wesfarmers, Paridhi spearheaded ML initiatives by building a scalable ML platform that optimised business operations. She holds a Master's degree in Machine Learning from University of Edinburgh and a Bachelor's degree in Computer Science from National Institute of Technology, IndiaOur Sponsor:
A big thank you to our sponsor, Method Recruitment Group, for their support and for providing us with food and drinks for this event.
Method recruits across Technology, Finance, Marketing and Not-For-Profit in Australia.
For more information on their specialised Data & Analytics division, visit: method recruitmentLocation
Amazon Building
Level 13
555 Collins Street
Melbourne 3000When arriving in the building, please proceed to Level 1 via stairs, lifts or escalators and check-in with your photo ID. Take lift E to Level 13.
Schedule
5:30 - Networking with Pizzas & Drinks
6:00 - Minh's talk
6:30 - Q&A for Minh's talk
6:45 - Paridhi's talk
7:15 - Q&A for Paridhi's talk
7:30 - More networking
8:00 - Wrap up
