Using a broad background in technology and IT, I work on solving data science problems efficiently and with flexibility. I have continually invested in improving my skills: fundamental (data science, mathematics), applied (Python, SQL) and general (communication, collaboration and in particular: visualizations and interface usability)

Since you seldom know everything that you need from a set of data at the start of a project, a powerful framework with options and extensibility is an important aspect of any data science, statistical or machine learning application. What you really want from data, and for science in general is not about knowing your objective a priori; It is more about the process of discovering what you can do with what you have.