During my internship at Porsche, I was deeply involved in database analysis within SAP applications, assisting in the evaluation of key metrics, and contributing to the presentation and reporting of results. My role was crucial in supporting data-driven decision-making processes within the organization.
Work Duration
October 2019 - December 2019
Projects and Responsibilities
1. Support in Analyzing Database Entries in SAP Applications
- Objective: Aid in the analysis of database entries to derive meaningful insights.
- Tasks:
- Assisted in scrutinizing data entries within SAP applications.
- Played a key role in identifying and rectifying data inconsistencies.
2. Participation in Evaluations and Determining Key Performance Indicators (KPIs)
- Objective: Contribute to the evaluation of data to establish significant correlations and performance metrics.
- Tasks:
- Collaborated in the analysis and interpretation of data to identify key performance indicators.
- Aided in the assessment of potential relationships between various data points.
3. Assistance in Coordination, Illustration, and Presentation of Results
- Objective: Support the effective communication of analytical findings through presentations.
- Tasks:
- Assisted in the preparation and refinement of presentations to showcase findings.
- Involved in the coordination and display of results to stakeholders.
4. Involvement in Creating Templates for Efficient and Time-Saving Evaluations
- Objective: Develop templates to streamline the data evaluation process.
- Tasks:
- Contributed to the creation of templates for quick and efficient data analysis.
- Focused on simplifying evaluation processes to save time and enhance productivity.
Skills and Technologies
- SAP Applications: Gained hands-on experience with SAP, focusing on database analysis and management.
- Data Evaluation: Enhanced my skills in analyzing and interpreting data to draw meaningful conclusions.
- Presentation and Reporting: Developed abilities in effectively communicating analytical results.
- Template Creation: Learned to create efficient templates for streamlined data analysis.
Acknowledgements
I would like to extend my heartfelt thanks to Jürgen Burckhardt for his exceptional guidance and support. His mentorship not only played a pivotal role in my professional development during this period but also significantly shaped my interest in the field of Artificial Intelligence. His insights and encouragement have been instrumental in steering my career path towards AI and its applications.