Branch Meetings

Branch Meetings for 2018 Poster

Statistical Society of Australia Canberra Branch Meetings
The Canberra branch of the SSA is pleased to present our meeting schedule for 2018. Please see
for a poster of the schedule containing our statistically and practically awesome lineup of speakers for the year!
Next meeting: Branch Meeting

Date: Tuesday 26 June 2018


5.00pm Refreshments (pizza, drinks and snacks), Allan Barton Forum, Level 2, Room 248, College of Business and Economics, ANU (Map).

5:45pm Two presentations in Allan Barton Forum

7.30pm After the talk, there will be a dinner at iPho, 10 Rudd Street, Canberra (Restaurant).

Please RSVP Warren Muller (Warren Muller) by 2pm Monday 25 June if you would like to attend the dinner. 

Talk #1: 5:45pm – 6:30pm
Title Solution for real-time analytics embedded in business process – Orchestra of elements to deliver real-time analytics as a critical part of business process
Speaker Richard Gao, Australian Government
The talk presents three evolution stages of decision-making process: 1) time consuming non-automatic decision making process, including data collection, analysis, report and decision making, 2) automatic decision making process as part of general business process (e.g. Operational Decision Manager), and 3) modern data science-driven business process, including machine learning algorithm development and real-time algorithm deployment systems as new feature.
Mr. Richard Gao, is a lead data scientist in the Commonwealth Australia, and previously worked as a data analyst and statistician across multiple Commonwealth Departments for over 10 years. Before that, he worked as an R&D manager with Huawei Technologies and Math teacher with a local Chinese university. He holds Master of Applied Statistics, MBA and Bachelor of Applied Mathematics.

Talk #2: 6:30pm-7:15pm
 Machine Learning and analytics using an open data science approach

Speaker Rishu Saxena, Cloudera
Data Science in an enterprise environment with strong security restrictions, means that leveraging the latest publicly available algorithms, libraries and approaches is difficult. In this talk we will propose an approach to leverage petabyte-scale open data science, while still maintaining security and resource controls.
Rishu is System Engineer with Cloudera focusing on helping customers to leverage machine learning. Rishu has previously worked with public, research and private sector organisations to help define the vision, strategy, technical solutions and delivery approach for big data hubs, advanced analytics and visualisation. Rishu is currently studying a Masters of Data Science at Sydney University.


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