Why Zalando’s tech radar sucks as a stack

I’ve been programming professionally for about 5 years now. So I don’t consider myself a brilliant expert. Never the less one thing I think that I’ve learned is that it isn’t about the ‘technical problems’ it’s about whether or not you solve a real-world or meaningful problem. Some people call these ‘business problems’ but they…… Continue reading Why Zalando’s tech radar sucks as a stack

How do we deliver Data Science in the Enterprise

Source I’ve worked on Data Science projects and delivered Machine Learning models both in production code and more research type work at a few companies now. Some of these companies were around the Seed stage/ Series A stage and some are established companies listed on stock exchanges. The aim of this article is to simply…… Continue reading How do we deliver Data Science in the Enterprise

One weird tip to improve the success of Data Science projects

I was recently speaking to some data science friends on Slack, and we were discussing projects and war stories. Something that came across was that ‘data science’ projects aren’t always successful. Somewhere around this discussion a lightbulb went off in my head about some of the problems we have with embarking on data science projects.…… Continue reading One weird tip to improve the success of Data Science projects

Avoiding being a ‘trophy’ data scientist

Recently I’ve been speaking to a number of data scientists about the challenges of adding value to companies. This isn’t an argument that data science doesn’t have positive ROI, but that there needs to be an understanding of the ‘team sport’ and organisational maturity to take advantage of these skills. The biggest anti-pattern I’ve experienced…… Continue reading Avoiding being a ‘trophy’ data scientist

Interview with a Data Scientist: Mick Cooney

I’m delighted to feature my friend Mick Cooney here as an interviewee. Mick has many years of experience in Finance and more recently in Insurance, he co-ran the Dublin R meetup which was very successful and helped foster a data science community in Dublin. More recently he’s been working over in London at an Actuarial…… Continue reading Interview with a Data Scientist: Mick Cooney

Interview with a Data Scientist – Jessica Graves

Jessica Graves is a Data Scientist who currently works on fashion problems in New York City. She’s worked with Hilary Mason at Fast Forward Labs and keeps in regular contact with the London startup scene. After many months of asking her for an interview she finally gave in – and she shares her unique perspective…… Continue reading Interview with a Data Scientist – Jessica Graves

Interview with a Data Scientist: Phillip Higgins

Phillip Higgins is a data science consultant based in New Zealand. His experience includes financial services and working for SAS, amongst other experience including some in Germany. What project have you worked on do you wish you could go back and do better? Hindsight is a wonderful thing, we can always find things we could…… Continue reading Interview with a Data Scientist: Phillip Higgins