I'm currently a Master’s student in Wirtschaftsinformatik at Humboldt-Universität zu Berlin, focuses on trying to implement ML tools to solve real world problems. yeiyeeeiiii
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Machine Learning Projects: Developed multiple ML models for stock prediction and sentiment analysis, utilizing tools like SQL, Python, TF & Pytorch and Dash. These projects involved data pipelines, data visualization, NLP and predictive analytic.
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MURMEL Robot Orientation Detection: Designed and implemented a machine learning model using TensorFlow for real-time robot orientation detection. This project involved the development of navigation algorithms with Python, C++, and ROS, as well as computer vision techniques with OpenCV, demonstrating my skills in AI-driven robotics solutions.
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Technical Internships: Worked as a process engineering intern at ZEISS Medical Technology, where I automated measurement processes and created real-time data dashboards.
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Academic Projects: From building AI models to implementing blockchain-based data automation systems, my academic pursuits reflect a blend of innovation, technical skill, and a drive to push boundaries in the field of AI and data science.
- Programming Languages: Python, Javascript, Typescript, HTML, CSS, React
- Machine Learning & AI: TensorFlow, PyTorch, Keras, Scikit-Learn
- Data Science & Visualization: Pandas, NumPy, Matplotlib, Dash, Seaborn, SQL
- Computer Vision: OpenCV, Image Processing, Pattern Recognition
- Robotics & Automation: ROS (Robot Operating System)
- Cloud & Tools: Basic knowledge in Google Cloud, Docker, Linux, Git
- Languages: English (C1), German (C1), Indonesian (Native), Chinese (A1)
- Expanding my skills in cloud computing (AWS, Azure)
- Diving deeper into advanced AI techniques and their applications in business
- Exploring state-of-the-art tools and technologies in data engineering
I'm always open to collaborating on interesting projects or discussing innovative ideas in the fields of data science, machine learning, and AI. Feel free to reach out!