Work Experience

  • Data Scientist
    BMW Group, Munich, Germany (Mar 2021-Nov 2021)

    • Created a Python-based machine learning end-to-end pipeline for automated data preparation.

    • Applied machine learning methods for the prediction of error patterns in vehicle production using tools such as Numpy, Pandas and Sklearn.

    • Developed, implemented, and tuned Deep Learning models using appropriate libraries (Keras, Tensorflow, Pytorch).

    • Conducted an extensive exploratory data analysis using Splunk Enterprise 8.0 and Palantir Foundary Impact.

    • Built a docker container environment for the use of NVIDIA multi-GPU-computing technology (Rapids).

    • Devised recommendations for courses of action and advised team members on data-based solutions.

  • Intern - Data Scientist
    BMW Group, Munich, Germany (Sep 2020-Mar 2021)

    • Performed an explorative data analysis using RStudio and Python.

    • Presented data and created illustrative graphics using various visualization techniques in RStudio (ggplot2).

    • Assisted with the implementation of various state-of-the-art machine learning methods for the classification of errors in vehicle production: Deep Learning, Decision Trees, Association Rule Mining.

    • Developed an algorithm for bulk extraction of data using a Rest API interface and queried data from relational databases via SQL.

    • Provided technical and functional support for the implementation of a sustainability research project and assisted in preparing the proof of concept.

    • Managed project planning, control and documentation with the help of the Agile Tool Chain (ATC): Confluence, Jira.

    • Tracked agile methods by means of self-developed KPIs.

    • Conducted interviews and conferences with internal colleagues as well as with external collaboration partners.

    • Independently managed the recruiting process for junior target groups, including planning, conducting and following up on interviews.

  • Intern - Psychologist
    Pro Mente, Salzburg, Austria (Mar 2017-Jun 2017)

    • Assisted with the treatment of patients experiencing psychiatric disorders such as schizophrenia, personality disorders and affective disorders.

    • Independently conducted assessments with patients.

    • Helped patients to undertake cognitive training (including overcoming concentrational and motivational difficulties).

  • Intern - Researcher
    University of Salzburg, Austria (Feb 2016-Mar 2016)

    • Gained extensive insight into the daily work of scientific researchers working in the field of cognitive neuroscience.

    • Provided assistance in creating a scientific experiment aimed at investigating transcranial electrical stimulation.

Education

Master's degree (MSc) in Data Science

University of Salzburg, Austria (2017-2021)

Semester abroad with Focus on Machine Learning

University of Cantabria, Spain (2019)

Bachelor's degree (BSc) in Psychology

University of Salzburg, Austria (2014-2017)

Languages and Tools

  • German (Native), Croatian (Native), English (Fluent), Spanish (Advanced)

  • Python, R, SQL, GIT, LaTeX, HTML

  • TensorFlow, Pytorch, Keras, Sci-kit Learn, MatplotLib, Seaborn, Numpy, Pandas