It gives me great pleasure to interview Vicki Boykis – we’ve chatted a lot on Twitter over the past few years and her blog/ side projects have been inspiring for my own. Vicki is a Data Scientist and Engineer who tweets awesome stuff. She’s well worth following. Her twitter bio – Born: Jewish in Russia. Raised:…… Continue reading Interview with a Data Scientist – Vicky Boykis
I was recently chatting to a friend who works as a Data Science consultant in the London Area – and a topic dear to my heart came up. How to successfully do ‘AI’ (or Data Science) in the enterprise. Now I work for an Enterprise SaaS company in the recruitment space, so I’ve got a certain…… Continue reading AI in the Enterprise (the problem)
The insightful Data Scientist Trey Causey talks about Software Development Skills for Data Scientists I’m going to write about my views on Code Review – as a Data Scientist with a few years experience, and experience delivering Data Products at organizations of varying sizes. I’m not perfect and I’m still maturing as an Engineer. A good…… Continue reading Why Code review? Or why should I care as a data scientist.
I recently gave a lighting talk at PyData Meetup London where I talked about ‘Consulting skills for Data Scientists’. Here are the slides here https://speakerdeck.com/springcoil/consulting-skills-for-data-scientists My thoughts Some thoughts – these are not just related to ‘consulting skills’ but something more nuanced – general soft skills and business skills – which are essential for those…… Continue reading Data Science Delivered – Consulting skills
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
One term that has surprised me on data projects is ‘governance’ or ‘data quality’ or ‘master data management’. It’s surprised me because I’m not an expert in this discipline and it’s quite different to my Machine Learning work. The aim of this blog post is to just jot down some ideas on ‘data governance’ and…… Continue reading What does a Data Scientist need to know about Data Governance?
One question you have when you use Python is what do I do with my data. How do I process it and analyze it. The aim of this flow chart is to simply provide a simple to use ‘map’ of the PyData stack. At PyData Amsterdam I’ll present this and explain it in more detail…… Continue reading A map of the PyData Stack