data

As a Data Scientist you will be spending a large chunk of your time doing repetitive work across projects. You get a new data set and you run the same boilerplate code for your analysis: Import data, check for missing values, distribution check, cleansing, yada yada … I know, datasets are very different yet I still see how often times the very same steps are repeated blindly in notebooks over and over again....

Two weeks ago I had the great pleasure to co-organize the AI in Action MeetUp at the office of my employer Sennder. With the MeetUp’s theme centered around mobility and logistics, I had the honor of presenting a talk on Geospatial Feature Engineering. Presenting a talk at the local MeetUp Start small - practice often Public speaking is still considered to be amongst the most dreaded activities for people (Glossophobia) - this used to apply to me as well....