During the hackathon our new data scientist Sergei Dumnov worked with Peter George, Jim Taylor and the team at Craigs Investment Partners to use data science techniques for financial portfolio data exploration and visualisation, and portfolio optimisation. We also developed a machine learning model for stock assets classification.
As a result of the two-day hackathon the Craigs team became familiar with various R and Python packages for portfolio analysis and optimisation and received copies of the R and Python code presented.
The @ThetaNet team have been busy at Craigs Investment Partners #Hackathon in Tauranga. Implementing Markowitz portfolio optimization using R and looking at Machine Learning to analyse factors for portfolio outcomes. #datascience #R #Analytics #Innovation pic.twitter.com/wiaqNtNorV— Jim Taylor (@jimtaylor1974) January 23, 2018
We also discussed how the work we did could be used in production, by deploying the models on R server and using Power BI to embed the models within existing web application.
Cross functional teams
There are lots of benefits from participating in hackathons like this - for all participants - one of the reasons it's a model we really like! Says Theta's Emerging Technologies Architect, Jim Taylor:
"From my point of view it was a first chance to see R in action, and I was impressed at how much could be achieved by a skilled programmer in a concise way."
Innovation lab comes to you