The New South Wales branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual event for Early Career and Student Statisticians on Wednesday 1st December 2021 at 6pm. The event will take place at The Occidental (43 York St, Sydney NSW 2000), near Wynyard Station.
This year we have spectacular speakers from several industry sectors and academic backgrounds. 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 and data science. Come join us to discover how analytical techniques translate into pragmatic problem-solving in the real world!
Join us for the Early Career and Student Statisticians Career Event 2021 and you will also have a chance to win one of our lucky door prizes!
Please note that you will have to bring your ID on the day.
Meet our speakers
Barnali Das (ANZ)
Barnali has worked in the Quantitative Finance space for over 15 years. She started out as an Electrical Engineer from Indian Institute of Technology. She moved to finance early on with an Masters in Business Administration from Indian Institute of Management and a Masters in Quantitative Finance from University of Technology, Sydney. During the past 15 years in financial modelling, she has worked at Westpac, NAB and ANZ. She has also worked for a Non-bank, Pepper and in Wealth Management at AMP. She is very interested in application of Mathematics and Statistics to Financial modelling, be it for Pricing or Validation or Hedging. Another area of interest is Data Driven Decision Making involving Machine Learning.
Dean Marchiori (Endeavour Energy)
Dean Marchiori is an Applied Statistician and specialist in advanced data analytics. His interest areas are in time series analysis, geospatial and airborne LiDAR analysis and the R programming language. Dean currently leads the data science team for Endeavour Energy where his work focuses on modelling bush fire and vegetation risk on the electricity network. Dean is a university medal recipient in mathematics. In 2019, he was named one of the top 10 analytics leaders in Australia by the Institute of Analytics Professionals of Australia. He is also recognised as an Accredited Statistician with the Statistical Society of Australia, and sits on the SSA committee for Statistical Computing and Visualisation.
Joshua Ching (Deloitte)
Joshua Ching PhD is a senior manager at Deloitte, specialising in the application of data science and machine learning in the financial space. He has worked both in an individual capacity as well as leading teams in many successful multi-million dollar value projects including fraud detection, optimisation of claims processing and reinsurance. He has four years’ experience at QBE Insurance as lead data scientist, and has previously spent time in both government and academia. In particular, he was a university tutor and postgraduate teaching fellow in the School of Mathematics and Statistics at the University of Sydney for many years. Joshua has also interviewed many candidates for the data scientist role and has insight into what is needed for success.
Joshua holds a PhD in pure mathematics (singular solutions to nonlinear elliptic differential equations with a gradient term), as well as a double honours in a Bachelor of Science (Advanced Mathematics) and a Bachelor of Laws from the University of Sydney. His most recent game is AOE 4, most recent anime is the Demon Slayer movie and dreams of sipping pina coladas in the Maldives!
Sarah Romanes (BCG GAMMA)
Sarah is a Senior Data Scientist at BCG GAMMA – an international advanced analytics consulting firm that aims to combine business with data science and technology built in. As a data scientist at BCG, Sarah has worked on a wide variety of interesting projects at large Australian corporations in business banking, steel supply chain, and telecommunications.
Prior to starting at BCG, Sarah completed her PhD in statistical machine learning at the University of Sydney, working with A/Prof John Ormerod and Prof Jean Yang on developing discriminant analysis methods for large scale and complex data sets.
Stephen Bush (SEEK)
Steve is a Principal Optimisation Analyst at SEEK, where he leads the Experimentation team. He has a PhD in Mathematics from the University of Technology Sydney. His specialisation is the efficient design of experiments and is interested in the use of experimentation at scale to enable data driven decision making and providing advice on evaluation, measurement and statistical methods.
Steph Stammel (Transurban)
Steph is Principal Econometrician at Transurban. She has worked as a data science consultant in industry and government, providing advice on Responsible AI, standing up machine learning teams and taking AI / machine learning from really interesting to really useful. She’s a member of the R user community, organising conferences in Australia. She’s most passionate about advocating for early career and career-changing practitioners.
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