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

Interview with a Data Scientist Tool Developer

I interviewed one of the core members of the Pandas Python Library Masaaki Horikoshi (sinhrks). I was really happy to interview him, and glad to show that Data-science and software development are really global things 🙂 I lightly edited his answers at his request because English is not his native language. My Biography: I work as… Continue reading Interview with a Data Scientist Tool Developer

Interview with a Data Scientist: Ian Ozsvald

Ian Ozsvald is a Data Scientist based in London. He’s a friend and an inspiration to all us data geeks. He’s a co-organizer of PyData in London and speaks a lot on the data science circuit. He’s also very tall 🙂 I include a bio at the bottom. 1. What project have you worked on do you… Continue reading Interview with a Data Scientist: Ian Ozsvald

Interviews with Data Scientists: Vanessa Sabino

Time for another Interview with a Data Scientist. I caught up with Vanessa Sabino who is a lead data scientist in another one of Shopify’s teams.  1. What project have you worked on do you wish you could go back to, and do better? 1. Working as practitioner in a company, as opposed to consulting,… Continue reading Interviews with Data Scientists: Vanessa Sabino

Interview with a Data Scientist: Ian Huston

Bio: Ian started out as a theoretical physicist, moved into data science a few years ago and is now part of the data science team at Pivotal Labs, the agile software consulting arm of Pivotal. Ian has worked on a variety of customer engagements at Pivotal including catastrophe risk modelling, fashion & consumer analytics, factory production… Continue reading Interview with a Data Scientist: Ian Huston