Salvoldi Holzer Soahita is a data scientist at aivancity, a school specializing in artificial intelligence and data. He designs AI solutions used internally to improve the student experience and optimize the school's management processes.
In this video, discover how a machine learning solution can detect the risk of students dropping out as early as the first few weeks of training. Using several predictive models and an explainability module, the application identifies the factors that led to each alert to help teaching teams provide personalized support.
Salvoldi Holzer Soahita is a data scientist at aivancity, a school specializing in artificial intelligence and data. He designs AI solutions used internally to improve the student experience and optimize the school's management processes.