This project is to analyze web site log files / google analytics data and develop a model of site visitors.
The resulting model will group site visitors into various canonical visitor profile groups (e.g. low engagement, high engagement, etc.) based on all the various data available (referrer URL, pages visited, on-site time, files downloaded, path through site, etc.).
Then, it will be able to predict which bucket(s) new visitors belong to based on their activity (and move them to new buckets as it gets more visitor data).
The model should run on Linux.
When applying please describe your:
- Experience in this area
- Work schedule
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