by Kate Ross-Smith, Mango Solutions @LaSystemistaria
1. Tell us a bit about your background in Data Science.
I’m not sure I have one. I trained as a Design Engineer and then a Systems Engineer, and up until now I’ve worked as an engineer and a project manager. In both of these roles, most of the time you’re analysing existing operations or processes, and presenting that back to someone who makes some kind of design or support decision. That’s kind of what data science is, I suppose.
2. How would you describe what a Visualiser is in your own words?
Someone who thinks in stories and images; who sees the interconnections between things, rather than just in isolation. Someone who communicates most instinctively through diagrams and pictures.
3. Were you surprised at your Data Science Radar profile result? Please explain.
Yes. I would have expected to be a stronger programmer, as I have a wide range of experience of different languages (but I’m not deep in one area), and I pay close attention to detail and rules; I love writing good, clean, elegant code.
I also scored high on the modeller axis… and I’m definitely the least experienced and least educated on this within the whole of the consultancy team. I would definitely expect to be a higher technologist and programmer than modeller.
4. Is knowing this information beneficial to shaping your career development plan? If so, how?
Not really. I already know what I want to improve, and where I want my career to go. I have also spent a lot of time with more tried at tested methods, and understand my strengths quite well. I also prefer to think in terms of high-level skills rather than specific application, and this is just testing to one application.
5. …read more
Source:: r-bloggers.com