I am a Data Science and Artificial Intelligence enthusiast. Currently, I am building a solid foundation in AI through a dual study program, which I combine with hands-on practical training as an IT specialist.
I enjoy exploring data, developing machine learning models, and writing clean, efficient code to solve analytical problems.
🌐 Personal Website: simonvoelkl.de
- 🎓 Education: Dual student in Artificial Intelligence, supported by multiple academic awards and scholarships.
- 💼 Experience: Bridging academic AI methodologies with practical IT and software development.
- 🔬 Interests: Data Science, Machine Learning, Cloud Computing, and Software Architecture.
Here are some of the key repositories I've been working on:
- Sensiq: An end-to-end, serverless IoT environmental monitoring platform. It integrates ESP32 sensor nodes with an AWS cloud backend and a React web frontend for real-time and historical data analysis.
- LumenTrace: A high-performance racing simulator featuring advanced light effects, real-time physics simulation, and immersive sound design.
- FinanceDataAnalysis: Financial analysis workflows with data quality assurance, exploratory insights, geo-visualizations, and predictive forecasting for both stocks and cryptocurrencies.
- GoTogether: A real-world social networking application designed to help users find like-minded people nearby for shared activities. Developed with a strong focus on SCRUM agile project management.
- Website: simonvoelkl.de
- GitHub: @s-voelkl