SSA NSW Young Statisticians & Data Scientist Careers Networking

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The NSW branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual Young Statisticians Careers & Networking Evening on Wed, October 9th, 2019.

This year we have spectacular speakers from financial, government, academic and consultancy services. The speakers will share stories from their careers and provide insights into their professions. For example, have you wondered what you can do after doing a statistics degree; what it is like to transition from mathematics to statistics; or what other statistics professions are like, then this event is for you!

After the talks, there will be plenty of time to chat with the speakers over drinks and food and to connect with people from many different areas of statistics, including government, industry and academia. Come join us to discover how analytical techniques translate into pragmatic problem-solving in the real world!

This event is made possible with organisation and sponsorship from the SSA NSW Branch. We are grateful for Commonwealth Bank of Australia for sponsoring the venue and catering; and for ACEMS for the generous additional financial sponsorship.

Please note that you will have to bring your ID on the day. We will send you a reminder email closer to the date.

Meet our speakers

Amanda Winchester
Quantum Black, McKinsey company

Amanda works as an expert consultant at Quantum Black.  She works in client engagements, often as either an  analytics translator or as a data scientist. She designs and develops solutions to business problems using statistical and machine learning approaches, and works with clients to translate results into implementable actions. Her experience spans a variety of consumer-facing industries, with extensive work in general retail and retail banking, financial services, and downstream oil & gas.

Robert Salomone
University of New South Wales

Robert is an early career researcher working as a postdoctoral research fellow at the University of New South Wales. He obtained his Ph.D. in Statistics from the University of Queensland. His main interest is on computational and methodological methods in Bayesian Statistics and Machine Learning. His current research interests include Bayesian Deep Learning and nonparametric methods, as well as developing new methods of inference for certain special classes of challenging problems in Bayesian statistics.

Gabriela Nodari
Reserve Bank Australia

Gabriela is an economist at the Economic Analysis Department of the Reserve Bank of Australia. She obtained her Ph.D. in Economics from the University of Verona in 2015. She currently works in the Overseas Economies division, where she monitors and forecasts trends in international economies and undertakes applied research to answer policy-relevant questions.

Liivika Tee
Quantium

Liivika is an Actuarial Consultant at Quantium with a PhD in Mathematical Statistics from University of Tartu in Estonia. She is interested in solving statistical challenges and is passionate about working with data in order to provide key business insights. Her key specialities are data analytics and statistical modelling in the insurance sector.

Stephen Bush
Commonwealth Bank of Australia

Stephen works in the Commonwealth Bank of Australia, where he is the Senior Manager for Experimentation. He is a statistician who specialises in the efficient design of experiments. He holds a PhD in Mathematics from UTS. In his role, Stephen works with different parts of the business to design A/B and multivariate tests to drive data driven decision making and provides advice on evaluation, measurement and statistical methods.

Roel Verbelen
Finity Consulting

Roel is a Statistician at Finity Consulting with a PhD in Business Statistics and Actuarial Science from KU Leuven in Belgium. His main interest lies in the use of statistics and data analytics to solve business problems and to innovate current practices. He is specialised in predictive modelling for the general insurance sector.