💡 Data Science Enthusiast | Machine Learning Developer | Deep Learning Explorer

I'm a Data Science student passionate about exploring the intersection of Artificial Intelligence and Data Analysis.
My main interests include:

• Building Machine Learning models that solve real-world problems.
• Developing Deep Learning architectures for advanced analytics.
• Leveraging data to extract insights and make impactful decisions.
• Sharing my learning journey and coding experiments through open-source projects.

• ML Development: End-to-end workflow from data preprocessing to model deployment.
• Deep Learning Analysis: Neural networks, CNNs, RNNs, and transformers.
• Data Visualization: Communicating insights through clear and interactive plots.
• Experimentation: Applying AI concepts to diverse domains, including social and scientific research.

Languages & Frameworks:

• Python | R | SQL
• TensorFlow | PyTorch | Scikit-learn | Pandas | NumPy
• Matplotlib | Seaborn | Plotly

Tools & Platforms:

• Jupyter Notebook | VS Code | Git & GitHub
• Hugging Face | Kaggle | Google Colab
• Docker | Linux

Specialties:

• Regression & Classification models
• Natural Language Processing (NLP)
• Time Series Forecasting
• Model Optimization & Evaluation

🌐 Portfolio & Profiles:

Here are some of my highlighted repositories:

I believe that data is more than numbers — it’s the key to understanding the world.