π Computer Science Student at University of Brawijaya
π Malang, Indonesia
πΌ Open to opportunities in Data Science & Machine Learning
I'm a passionate Data Science enthusiast and aspiring Machine Learning Engineer currently pursuing my degree at University of Brawijaya. I love turning data into actionable insights and building intelligent systems that solve real-world problems.
- π Currently working on: Predictive modeling for Regional Economics (GRDP/PDRB)
- π± Learning: Advanced ML techniques, MLOps pipeline, and Cloud Deployment
- π― Open to collaborate on data science and machine learning projects
- π¬ Ask me about Python, Machine Learning, Data Analysis, and MLOps
- β‘ Fun fact: I enjoy exploring new ML algorithms and experimenting with different datasets!
Machine learning model to predict obesity levels based on lifestyle and health data
- Tech: Python, Random Forest, Scikit-Learn, Jupyter Notebook
- Highlights: Achieved high accuracy in classifying obesity categories (Normal Weight, Overweight, Obesity Type I/II/III)
- Impact: Helps identify risk factors and provides insights for health interventions
π€ MLOps Project
End-to-end ML pipeline implementation with modern MLOps practices
- Tech: Python, Docker, CI/CD
- Highlights: Automated model training, deployment, and monitoring
- Focus: Production-ready ML systems with version control and reproducibility
I'm actively seeking opportunities to:
- π― Work on machine learning projects that make real impact
- π Join a team that values innovation and continuous learning
- π‘ Contribute to data-driven solutions in various industries
- π Gain experience in MLOps and production ML systems
- π€ Collaborate with passionate professionals in the AI/ML space
I'm always open to interesting conversations and collaboration opportunities!
