Alvaro is a data scientist at Plat.ai and has in the past also worked as a researcher and instructor. His current main interests in data science relate to classification, Bayesian methods, deep learning, and behavioral statistics. Having also a formal background in psychology, Alvaro believes there is added responsibility for data science professionals to ensure algorithmic fairness, reliability, and validity, especially concerning outcomes with ramifications for customers and other individuals. When not working he enjoys traveling, hiking, and consuming copious amounts of sour candy and TV, not necessarily in that order.
With globalization trends and the interconnectedness of businesses large and small on lending, understanding how Covid-19 is impacting current and future lending is crucial for industries that depend on the health of lending, such as financial technology.
Machine learning (ML), or the study of computer algorithms that improve automatically through experience, has demonstrated vast potential for applications across a variety of industries and fields of study.
At Plat.ai, we take data science and the required tools to deliver performance and outcomes catered to your organizational needs adequately. To best understand what we do, we define some key concepts below in a non-technical way so that you can be empowered to know precisely how data science and Plat.ai can improve your business.