MS Web ad Data Science student who is passionate about building scalable solutions and exploring cutting-edge technologies. Currently diving deep into the intersection of Data Science, Cloud Computing, and DevOps to create more intelligent and efficient systems.
- π Data Science Projects: Building predictive models and data pipelines
- π» 42 Heilbronn: Projects that needs C, C++ and quite alot of researches.
- βοΈ Cloud Architecture: Expanding my knowledge in designing scalable applications on AWS and Azure
- π οΈ DevOps Automation: Learning more about DevOps concepts
- Data Science: Databricks, Data modelling, Data Lakehouse, ETL Process
- Machine Learning & Analytics: Python, TensorFlow, Pandas
- Cloud Platforms: AWS, Docker, Kubernetes, Terraform
- DevOps Tools: Docker, Kubernetes, GitLab CI, Ansible, Monitoring & Logging
- πΌ LinkedIn: Connect with me
- π§ Email: Connect with me
- π¬ Open to discuss: System architecture, cloud solutions, data engineering, or any tech challenges
When I'm not architecting solutions or analyzing data, you'll find me on the football field or exploring the latest tech documentaries. I believe the best code comes from a balanced life!
"Building tomorrow's solutions with today's best practices" π