As this blog is growing more and more into a portfolio for my data science work I did not want to miss out on the opportunity to (shamelessly) promote my guest post on the AWS blog from November: Advancement in Fraud Detection: ML in Online Survey Research The fraud detection solution described in the blog post was …

In a past project at my previous job our team was building a real-time fraud detection algorithm. The logic of the algorithm was based on the classical outlier definition: flag everything that exceeds the population mean by roughly two standard deviations. The requirements for the response time of the API that would …

In our previous blog post we posed two questions about restaurant reviews from Stockholm and Berlin. Using some actual restaurant review data from Google Maps we were able to find an answer to the first question about whether there is a difference in the point rating distribution between the two cities. In this post we …