Dânia has been doing Data Science since before the term existed. Her journey started in Brazil, her home country, where she pursued a Masters in Computer Science right after concluding her bachelors in Applied Mathematics.
By applying lessons learned from working in the field since 2012, she understands well how the most accurate statistical models alone are not enough to make a real contribution. It requires combining her strong theoretical knowledge of machine learning with the understanding of how a prediction can move KPIs to bridge the gap and act strategically.
At her current role as a data scientist, her focus is on predictive analytics: developing accurate models as well as deploying them to production.
She is an active volunteer at DSSG Berlin and also a teacher at a Data Science Bootcamp in Berlin.