
Kristina Licenberger
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Kristina Licenberger
- Bis heute 1 Jahr, seit Okt. 2025
Senior AI/Data Science Engineer
Codetribe
Leading AI initiatives within the organization and facilitating knowledge sharing sessions to build awareness, capability, and impact across teams.
- 4 Jahre und 2 Monate, Sep. 2021 - Okt. 2025
Development Lead and Data Scientist
VegaIT
Besides working on the project, provided mentorship to colleagues and actively participated in presales engagements, project estimations, and discovery phases. Contributing to the development of MVPs and POCs. Mentored interns during their internships.
- 2 Jahre und 1 Monat, Sep. 2019 - Sep. 2021
Data Engineer
Synechron
Designed and prepared data pipelines for entity resolution, including developing scoring logic and feature engineering. Retrieved data from APIs and supported ML model evaluation through data transformation and analysis.
- 3 Monate, März 2019 - Mai 2019
Data Scientist
Synechron
Worked on data science tasks with a focus on recommendation systems, time series analysis and topic modeling. Designed and implemented machine learning solutions to extract meaningful insights from specific datasets.
Conducted in depth analysis of client databases, organizing sparse datasets to uncover correlations between key attributes. Developed behavior predictions based on identified patterns and presented insights through clear, data-driven visualizations.
Ausbildung von Kristina Licenberger
- 3 Monate, Juni 2019 - Aug. 2019
Visiting Research Fellow
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
Explored a semidefinite programming approach to visual storyline creation using graph-based strategies. Conducted research on combinatorial optimization techniques to identify optimal choices of shortest paths in acyclic, weighted, multipartite graphs. Achieved Honorary Mention of the Mathematical Institute of the Serbian Academy of Sciences and Arts in the field of computing for M.Sc. students.
- 2 Jahre und 1 Monat, Sep. 2017 - Sep. 2019
Applied Mathematics/Data Science
Faculty of Sciences, University of Novi Sad
- 3 Jahre und 10 Monate, Sep. 2013 - Juni 2017
Applied Mathematics/Financial Mathematics
Faculty of Sciences, University of Novi Sad
Sprachen
Deutsch
B1-B2 (Gute Kenntnisse)
Ungarisch
A1-A2 (Grundkenntnisse)
Englisch
C1 (Fließend)
Serbian
C2 (Verhandlungssicher / Muttersprachlich)
Coatian
C2 (Verhandlungssicher / Muttersprachlich)
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