The client is one of the top 20 B-Schools in the USA offering full-time, online and executive MBA courses.
Tenzai deployed the purpose driven AI approach to develop a machine-learning based solution to identify the right candidates to admit.
Data from multiple sources like application data, clickstream data, campus visits, and test results were integrated to create a 360 view of applicants. An in-depth exploratory analysis helped the client develop different applicant genome profiles.
An in-depth exploratory analysis was conducted to explore key insights to identify the typical profile of applicants. Attributes like education, professional experience, test performance, demographics and other attributes were considered for the analysis. The analysis helped the client to identify the behavior of candidates who are most likely to accept their admit offers.
Then using machine learning and ensemble techniques a lookalike or clone model was built. This model helped the client to identify applicants having a high propensity to accept their offers. The propensity scores helped the admission teams to prioritize applicants more efficiently.