I am Thomas Niebler. Next to the usual Data-Science-ing, I want to alleviate data access and explorability as well as facilitating easy, but effective supervision of ML pipelines and models.
Some of the tools I have worked with (and partially on) are:
Currently, I am working as a Software Architect at Bosch Rexroth. Previously I was working as a Data Scientist at the same company.
I hold a PhD in Computer Science from the University of Würzburg, where I wrote a thesis about Extracting and Learning Semantics from Social Web Data. Now I am working on time-dependent models in the Industrial Internet of Things.
In this blog, I sometimes write down some results, instructions, opinions, and findings. Here I share them with the world. Or as Emilie Schario put it:
I am increasingly struck by the idea that technical blogs are just a way of building your own technical documentation. You write about the problem you had and how you solved it, in part to helps others who might stumble upon, but even more so to help yourself if you find yourself in that predicament again.