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
- © 2022
- Patrick Zivkovic
- Design: HTML5 UP
- BG Photo: SpaceX on Unsplash