Data Scientist · New Blog
Turning complex data into decisions.
Latest Post
I built and compared five regression models for predicting home sale prices. Ridge regression worked best: adding more features only helps if you stop the model from over-relying on any one of them.
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Using Foursquare venue data and k-means clustering to find the Toronto neighbourhood with the right mix of foot traffic and demand, but not too much coffee shop competition already.
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A full walkthrough of a crisis referral risk model: data quality, feature engineering, model comparison, and what a screening tool like this can and can't tell a clinical team.
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Two weeks from the end of maternity leave: on 'rotting' a little, nurturing a lot, and finally starting this blog. Plus a bit about how I became a data scientist.