Kristina Licenberger

Angestellt, Senior AI/Data Science Engineer, Codetribe
Novi Sad, Serbien

Fähigkeiten und Kenntnisse

AI
GenAI
Data Science
Machine Learning
Python
Deep Learning
Microsoft Azure
AWS
ETL
Docker
Claude
Natural Language Processing (NLP)
Elasticsearch
Team work
Consulting
Software Development
Communication skills

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.

  • 4 Monate, Aug. 2018 - Nov. 2018

    Data Scientist

    Typhoon HIL

    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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