Nubank's take on how these two roles interact and how each plays a key part in a successful team.
New tools will soon create more value based on transactional data intelligence, supporting innovative companies to generate insights about customer patterns and journeys for their benefit.
Machine learning (ML) models are very sensitive pieces of software; their successful use needs careful monitoring to make sure they are working correctly.
A huge part of Nubank’s Data Science team has been recently focusing on leveraging causal inference along with traditional machine learning to solve some of our toughest problems.
Benefits from doing analysis and validation of models
In April 2019, Nubank open-sourced fklearn, our machine learning python library. And it has a a benevolent sweet good poison!
Lessons learned from gathering the best data scientists in São Paulo city