Analytical work can greatly benefit from software engineering standards in terms of quality and efficiency, here's how.
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. This post aims at explaining why causal inference is such a powerful tool to solve business problems with data.
Platformization has been a trend for a while, but how do we do this? How do you go from a product perspective to abstractions on a platform? We want to share with you a real case that we consider one of the greatest challenges taken by Nubank so far!
Technical Writing team is responsible for supporting, teaching and helping engineers to create, maintain and publish useful, assertive and clear documentation.
Integrating Analytics Engineers into all cross-functional teams: a key success factor to scale a data platform efficiently and reliably
Our data infrastructure teams in Europe are instrumental in creating increasingly better products for our customers
A bit over a year ago, Alexandre Freire wrote an article about how we decided to standardize our mobile app development with Flutter, our early experiences with the platform, and why we decided to use it as our primary technology for cross-platform apps. In a recent interview with Nóra Bézi from Bitrise, Alexandre, along with […]
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