Welcome to the homepage of Stephen Oates.
I am a Sydney based Data Scientist and the purpose of page is to showcase examples of my work. These are currently in draft form and not entirely finished at this point.
Customer Life Time Value Models
A discussion of CLV models based on a review of the literature.
Churn Analysis
Using a dataset we walk through model building to predict which customers will leave in order to entice them stay.
Survival Analysis
Using techniques originally developed in demography and biology we try and predict the average lifespan of customers.
ASX Game Analysis
An attempt to use Machine Learning to do well in a stockmarket trading game.
Vidhya Analytics Author Challenge
A walk through of an entry in the informal Vidhya Analytics Blogs challenge.
Twitter Analysis
A walk through of scraping the twitter profile of PGi and an analysis of which tweets get the most response from followers.
Kaggle - Bike Demand
Based on a current Kaggle Knowledge contest we walk through predicting the demand for bikes in Washington DC.
Kaggle - Julia House Numbers
Using the newly developed analytics programming language Julia we walk through creating models to predict House Numbers from photos taken by Google's Street View.
Kaggle - Semantic Analysis of Rotten Tomato Reviews
A walk through of model building to predict how positive or negative a film review is.
Contact Me
If you would like to contact me I can be reached at LinkedIn. I am also on Twitter.