Experience
Feb 2022 - Present
3 years 10 months
- Training Machine Learning models for different purposes.
- Programming with languages such as R and Python, depending on the project requirements.
- Develop, test, and maintain R Shiny applications for semiconductor wafer fab production.
- Documentation of the code, project requirements, design decisions, and development processes.
- Perform integration testing, and debug to ensure software functions correctly.
- Coding, debugging, and ensuring quality standards for smooth operations.
- Deployment of Git and GitHub to manage changes and collaborate efficiently with fellow developers.
- Deployment of Docker and Jenkins for application containerization.
- Staying updated on the latest tools, technologies, and best practices in software development.
- Providing back-up in MES (Manufacturing Execution System).
- Getting involved in project management like task priority and project timelines.
- Maintaining and optimizing deployed apps.
Sep 2021 - Jan 2022
5 months
- Data analysis, documentation, and presentation of results for the customer.
- Development of products and services in data analytics projects.
- Development of machine learning methods for sustainable, data-driven solutions.
- Operational implementation of solution approaches in existing system landscapes.
- Analysis and visualization of customer data for trends, patterns, and anomalies.
- Further development of existing analytics solutions.
Feb 2019 - May 2019
4 months
- Building Machine Learning models using R and Python.
- Building recommender systems for Witt Gruppe online shop.
- Data visualization with ggplot2 and Power BI.
- Development of an application with R Shiny.
- ETL using Airflow.
- e-conda for online shop data analysis.
- Preparation of PowerPoint presentation of the results