Khrystyna Kosenko


Data scientist, Newfire partners

Khrystyna started from research analytics and moved to data science. She has worked with intellectual property, media and healthcare. Currently working as a data scientist at Newfire partners.

Topic of presentation: What it takes to build a model for detecting patients that defaults from medication

The main points of the presentation:
Why data exploration is important?
Clean data is a half of success
why subject knowledge experts are crucial in healthcare project
feature engineerings as a way to make you model more accurate
We will talk about how using clinical data tyr to predict if patients will or will not defect from their medication.