Data Scientist (NLP-Focused) | LLM-Based Assistant Developer | RAG Systems & Applied AI | Python Tutor
I focus on building LLM-based assistants and Retrieval-Augmented Generation (RAG) systems that solve real business problems. Currently working as a Data Science intern, where I analyze data, evaluate ML models, and transform insights into actionable outputs — strengthening the analytical base that supports my NLP/LLM specialization.
I develop:
AI assistants powered by LLMs
RAG pipelines using vector databases (ChromaDB)
NLP applications (text classification, document processing, conversational systems)
Streamlit-based AI tools
I also teach Python, AI fundamentals, and applied machine learning at Kodland, which has sharpened my ability to explain complex topics clearly and build clean, scalable code structures.
My goal: Become a Data Scientist who specializes in practical NLP & LLM systems — especially in enterprises where automation, document intelligence, and AI-driven assistants create measurable value.
Always learning, always building.
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📝 I regularly write articles on medium
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📫 How to reach me denizdaglice@gmail.com
