R
City York United Kingdom
Blog: Blog
Website: GitHub
Biographical Info
- Interests: data analysis, teaching and learning data skills, reproducibility
- Contact method: Twitter
City Edinburgh United Kingdom
Biographical Info
- R-Groups: R-Ladies Edinburgh
- Interests: Statistics, Reproducible Research
City Reading United Kingdom
Website: Personal website
Website: GitHub
Biographical Info
- R-Groups: R-Ladies Reading
- R-Packages: supeRnatural
- Interests: Statistics, Machine Learning, Causality, Social Statistics, Shiny Development, Data Visualisation, Open Data, Data Science
- Contact method: LinkedIn
City Bristol United Kingdom
Biographical Info
- Interests: Learning Organisation, systems thinking, enterprise services, enterprise social, qualitative research, quantitative research, internal tools, information science
- Contact method: Twitter
- Kate is an engineer who confesses to three major loves in her working life: puzzles, technology and being sneaky. Working with data is always about working out how to get the most elegant solution possible to tricky business issues from the technology available; a challenge that Kate steps up to every time! As a data scientist at Mango Solutions, she delivers analytics consultancy and training to a whole host of super imaginative customers who have an amazing thirst for learning. Specialising in helping customers define and secure their data architecture, Kate has the privilege of working with both Mango’s awesomely clever mathematical types who want R and Python to slowly take over the world, and our thoroughly brilliant data engineers who serve up complex technology as quickly as you can say “cloud computing”. As for what she means about “being sneaky”, you’ll just have to ask her.
City Liverpool United Kingdom
Biographical Info
- Interests: statistics, data visualization, data collection
- Contact method: Twitter