I work on Machine Learning (ML) and Deep Learning (DL) projects, with a focus on textual data. I voluntarily develop models and applications in Natural Language Processing (NLP), Information Retrieval, and AI-driven text analysis.
- NLP Projects: Sentiment analysis, topic modeling, text classification, and more.
- Machine Learning Applications: Supervised and unsupervised learning models for real-world problems.
- Deep Learning Implementations: Neural networks, transformers, and advanced DL architectures applied to text.
- Data Science Experiments: Exploratory data analysis, feature engineering, and model optimization.
- Programming: Python (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Hugging Face Transformers)
- Data Processing: NLTK, SpaCy, BERT, GPT-based models
- Visualization: Matplotlib, Seaborn, Plotly
- Databases: SQL, BigQuery
I'm open to collaborations, discussions, and knowledge sharing. If you're interested in AI, NLP, or ML, feel free to reach out!