Aiming to make the world a more interesting place through the application of economics and digital technology. Currently working in operations, program management, analytics and AI at Deloitte in Melbourne, Australia.
Things I've made
Developed an application to automate the sorting of documents based on explainable natural language processing. This could be deployed without technical expertise and greatly reduce manual effort.
Lead a proof of concept project to develop an unsupervised image embedding and retrieval system to provide image recommendations for marketing purposes as well as aid in image sales analysis. Look and Learn is the world’s largest and most unusual collections of historical pictures and vintage imagery, with half a million illustrations from original artwork, books, magazines, illustrated papers, posters, prints, postcards, trade cards, old photographs and ephemera of all types.
Using the google Maps API and poisson regression to perform a statistical analysis of food, banking, health and education accessibility in Victoria and how this accessibility varies with local income.
Developed an iOS app to experiment with alternatives to turn-by-turn navigation. Developed in Swift
Classifying news articles wth CNN, Dense, and Logistic models
Visualising CNN learning and creating some neat art
Simulating why Germans gave up ties with an interacting agent approach
Exploring how indicator similarity can be used to understand markets and economies
Give your urls a look that Gmail will flag as suspicious
Learning how decision tree algorithms work
Implementing maximum likelihood estimation for binary logistic regression
Messing around with magnetometers and window.DeviceOrientationEvent
Experimenting with convolutional neural networks.
Wanting to learn about the IOT scene, I’m attempting to build some connected devices to automate parts of my home.
I build a robot to beat my friends.
A Facebook messenger bot which reads out every message...
Non-linear time series models using simple neural networks
I’m currently working at Deloitte Australia in their Analytics and AI team, after graduating from a Bachelor of Commerce in Economics and Finance at the University of Melbourne.
After growing up in South Africa, I’ve lived in New Zealand and now Melbourne, Australia. I’ve always enjoyed tinkering in a workshop, and in the absence of power tools this has morphed into tinkering with programming, ML, and electronics. This has spurred on many side projects, some of which are documented above.
Things I've done
Working in the Analytics and AI department of Deloitte Consulting, Melbourne.
Prior positions: Graduate, Analyst
(2019 - Present)
Graduated top of the faculty after studying Finance and Economics, while distracting myself with a minor focus of Structural Engineering and Econometrics.
(2016-2018, First Class Honours, Faculty Medal Recipient)
I have been tutoring undergraduate Macroeconomics, Microeconomics and Econometrics, as well as masters Econometrics. Previously I taught IB economics.
(2016 - 2020)
Worked in the Performance | Automate department of Deloitte Consulting on data sourcing for the database migration in a large merger.
Viburnum Funds is an Australian PE and strategic equities fund. I worked in the research department, doing deep research into potential investment opportunities. Gained experience in modelling high growth companies and in industry research.
Working in the consulting unit of CSBA. Provided a review of internal processes and products and research for engagements with clients.
(2017 - 2018)
Started Line2 with the aim of providing passive, low cost customer insights to small retail and hospitality businesses. We didn’t succeed, but I did learn a great deal about data management and analytics, privacy, and hardware development.
Completed IB in 2015, taking English, Spanish, Economics, Chemistry, Mathematics and Physics.
Feel free to chuck me an email on firstname.lastname@example.org or message me through LinkedIn.