I am passionate about Natural Language Processing, Machine Learning, and Data Science.
I enjoy working with data, especially unstructured text, to discover meaningful patterns and build practical intelligent systems.
My interests include text classification, sentiment analysis, information extraction, document summarization, recommendation systems, transformer models, and Large Language Models.
I am currently strengthening my skills through hands-on projects and exploring opportunities where I can apply NLP, machine learning, data analysis, and problem-solving to real-world challenges.
- 🔍 Interested in Natural Language Processing, Machine Learning, and Generative AI
- 📚 Currently learning transformer architectures, LLMs, RAG, and model deployment
- 🛠️ Building practical NLP and data science projects
- 📊 Experienced with Python, SQL, data analysis, and visualization
- 🤝 Open to collaborating on NLP, machine learning, and open-source projects
- 💼 Exploring opportunities in NLP, Data Science, Machine Learning, and Data Analytics
- Transformer architectures and attention mechanisms
- Large Language Models
- Retrieval-Augmented Generation
- Prompt engineering
- NLP model evaluation
- Model deployment and MLOps
- Sentiment analysis and opinion mining
- Text classification and document categorization
- Named Entity Recognition and information extraction
- Text summarization
- Question-answering systems
- Semantic search and information retrieval
- NLP chatbots and conversational AI
- Transformer-based applications
- Large Language Models and Generative AI
- Retrieval-Augmented Generation
- Predictive analytics and business intelligence
I am currently building and documenting projects related to:
- NLP-based text analysis
- Sentiment classification
- Document summarization
- Semantic search
- Machine learning pipelines
- Interactive data dashboards
- Large Language Model applications
Visit my repositories to explore my work and learning journey.
