I am preparing for a career in artificial intelligence through
Python, data science, machine learning, deep learning, and independent projects.
- 🐍 Building strong foundations in Python and software engineering
- 📊 Developing skills in data analysis, visualization, and statistics
- 🤖 Preparing for machine learning and deep learning
- 🌍 Interested in applied AI, GeoAI, and scientific applications
- 🎯 Working toward three serious AI portfolio projects
- 📚 Learning through books, deliberate practice, and independent work
My goal is to become an AI engineer capable of building complete systems rather than only following tutorials.
I am especially interested in projects that combine artificial intelligence with real-world fields such as:
- Geoscience
- Environmental analysis
- Agriculture
- Scientific research
- Computer vision
My future portfolio will focus on three serious projects:
- A complete machine learning project
- A deep learning project
- An applied AI project focused on a real-world or scientific problem
Each project will include:
- Clear problem definition
- Data preparation
- Model development
- Evaluation and interpretation
- Clean repository structure
- Professional documentation
Build strong foundations first.
Understand deeply.
Practice deliberately.
Create projects that solve meaningful problems.
