UT Institute of Computer Science Graduation Theses Topics Registry

Organization

AS SEB Pank

Abstract

SEB is a leading Nordic bank with over 165 years of experience. SEB has a department for Customer Data and Strategic Transformations. In this department we use data to drive product innovation and support other division with data-driven solutions. Our team consists of experts in the field with a strong focus on advanced data analyses. We use data science methods and machine learning to create analytical insights and predictive models. Join our team to help us create the next generation of data-driven financial products.

Main tasks during the capstone project:
- Analysis of corporate segment
- Customer product use efficiency and data drive insights to improve it
- Preparation of the data
- Application of advanced analytics and machine learning to identify potential business opportunities
- Creating models and insights for a use case
- Interpretation and communication of results to business units
- Development of data-driven products

Graduation Theses defence year

2023-2024

Supervisor

Üllar Rannik, PhD

Spoken language (s)

Estonian, English

Requirements for candidates

Expectations for the applicant:
- Python skills
- Experience with data warehousing, SQL and data processing
- Basic experience with Git and Linux
- Experience with advanced analytics and machine learning projects
- Data science and machine learning enthusiast

Level

Masters

Keywords

 

Name

Kristina Lillo

Phone

E-mail