by Steph Locke, Mango Solutions @SteffLocke
Steph Locke Data Science Radar – Nov 2015
1. Tell us a bit about your background in Data Science
I started off as a Product Analyst doing a bit of this, a bit of that, but moved into a Data Analyst role on a search for more data. My Data Analyst role swiftly moved into a Business Intelligence role where I tackled data integration and reporting challenges. I rose through the ranks, mentoring others, and started working on more predictive as opposed tasks using R. Still involving a strong data platform focus, I try to help others get more value out of their data.
2. How would you describe what a Data Wrangler is in your own words?
A data wrangler knows how to integrate data from multiple sources, solving common transformation problems, and resolve data quality issues. A great data wrangler not only knows their data but helps the business enrich the data.
3. Were you surprised at your Data Science Radar profile result? Please explain.
Not really! Wrangling data is where I started out and it remains a strong foundation upon which I build my other skills. I also use data wrangling as my key to help pick up and learn new languages – I have a strong grasp of the theory and design patterns so I can see how a language maps to those patterns, thus shortening the learning curve.
4. Is knowing this information beneficial to shaping your career development plan? If so, how?
I build my other skills upon data wrangling so I need to stay sharp. At the moment I’m focussing quite extensively my communication and visualising skills, to help me better convey the value I can help people get from their data.
5. How do you apply your …read more
Source:: r-bloggers.com