Tetyana Peterburgska

⦁ Conceptualising and visualising data to support business units understanding cross-channel user behaviour ⦁ Planning and building machine learning models to predict app user behaviour ⦁ Deriving data-driven insights and recommendations for stakeholders ⦁ Collaborating and aligning with stakeholders to identify business goals for data science use cases

⦁ Alumni network of former scholarship recipients of the START foundation ⦁ Initiating and participating in workshops, projects and other internal and external events ⦁ Forming and activating department of Alumni in Berlin and Brandenburg

Beginner to intermediate level for different institutions

⦁ Identified and evaluated data sources for different data science models ⦁ Created reporting dashboards and ad-hoc analysis for in-depth analysis of customers from different data sources ⦁ Master thesis: - Identified relevant value proposition in collaboration with different stakeholders - Built technical implementation of recommendation engine - Applied and interpreted the results of the recommendation engine, providing next steps to improve user engagement

⦁ Motivated and raised awareness among students with a migration background for greater self-determination in their educational path ⦁ Organized visits in schools, cultural, sports, and religious institutions.

⦁ Analysed web user behaviour data with various web analytics tools ⦁ Prepared weekly KPI-Reports for Lufthansa Group ⦁ Defined requirements and evaluated A/B-tests

Teaching and caring for students in various cultural institutions

⦁ Conducted research, translation, and preparation of relevant topics on Industry 4.0 in Germany and Europe ⦁ Focused on small and medium-sized enterprises (SMEs) utilizing computer aided engineering (CAS) and and design (CAD) for product development ⦁ Prepared benchmarking analyses about South Korean and German research institutions

⦁ Organized joint activities and meetings ⦁ Provided support for learning German ⦁ Assisted with bureaucratic procedures, official correspondence, and other formalities.

⦁ Specialised in data science in health care systems ⦁ Master thesis: “Security Recommender Systems in Banking – Which Approach Should Be Applied in the Commerzbank App to Generate Personalized Tradable Security Recommendations for Private Customers? “

Semester abroad: Data Mining Software Engineering

⦁ Specialised in information science ⦁ Bachelor thesis: “Optimization of the Web Controlling System in the Context of Higher Education Marketing at the Universität Hildesheim.”