Code Cleanup: A Data Scientist's Guide to Sparkling Code
Does your production code look like it’s been copied from Untitled12.ipynb? Are your engineers complaining about the code but you can’t find the time to work on improving the code base? This talk will go through some of the basics of clean coding and how to best implement them in a data science team.
Affiliation: OTA Insight
Corrie Bartelheimer first became interested in data when studying topological data analysis during her math Masters. After working a few years in Berlin and organizing the Berlin Bayesian meetups for a while, she moved to Brussels, Belgium where she now works as a Data Scientist in the hospitality industry. Her interests include, among others, Bayesian modelling, network analysis, data visualization and best practices for data science teams. In her freetime, she enjoys cooking for friends and sampling new Belgium beers.