Summary An experienced data scientist with a diverse background and a strong technical skill set, I have experience working both internationally and domestically in industries such as development, telecommunications, government and finance. Currently working in management consulting, I’m enjoying exploring data engineering, theoretical statistics and arduino at the moment. Education Doctor of Philosophy 2004-2008 Research focused on finding practical, but theoretically robust solutions for testing complex time series models over multiple dimensions (panel data).
2019 Robust and secure AI: A primer for the c-suite with M. Kuperholz and C. Lee 2017 Digital Productivity: Key Issues from the Literature, joint work with Paul Paterson and Tony Wiskich, February 2017. 2016 An Introduction to Unlisted Investments, The Constant Investor, September 23. Bonds and Bond Funds: A Long Running Bull Market, The Constant Investor September 23. Introducing Peer to Peer and Marketplace Lending, The Constant Investor, October 1.
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The data revolution is upon us! Or at least that’s what someone with a snappy grasp of copy-editing and a mandate for clicks would say. There’s a common misperception that’s out there in the data world that only some of us know how to be data driven. Only some of us have our data driving licenses and can get behind the wheel. This is manifestly false. Even if you don’t know R or Python or any other part of the common data science toolkit (yet), there are things you can do and start to think about today as you begin to embrace the idea of data-driven decision making.
There’s some big changes going on in my professional life, so it was time for a change. This is my new blog - my previous work is hosted over at Rex Analytics. Welcome!