Laboratory "data valorization for fintech"

Partner company: AcomeA SGR S.p.A. - Gimme5

This Lab is provided within the Data Science for Economics (DSE) degree program.
A small number of students can be admitted due to logistics constraints.
The students (either DSE or non-DSE) must apply for admission. Candidates will be selected by the involved institutions/companies according to CV and motivations.
For application, students must respond to a call that is posted on this website: https://dse.cdl.unimi.it/en/courses/laboratories
The call is typically published a few weeks before the Lab starts.

This lab aims to develop students' capabilities and applications of techniques in data analysis and user behavior modeling.
The educational goal of the lab is that of proving that the application of statistical/probabilistic methodologies and data analysis can bring about a generally positive impact on the analysis of phenomena of interest engaged in the digital application for savings.

Critical vision and comprehension of standard business issues related to the Customer Base data world of a digital product.
Development of basic Python code aimed at the analysis of customer subscription procedure and the identification of funnel weak spots related to that.