I am a Mathematics and Data Science undergraduate with a strong foundation in Python programming, data analysis, and Artificial Intelligence. I specialize in building and working with machine learning models, natural language processing (NLP) systems, and Retrieval-Augmented Generation (RAG) pipelines.
I have hands-on experience with tools and frameworks such as Python, Pandas, Scikit-learn, Hugging Face Transformers, and ChromaDB. My work includes AI research projects, metadata tagging systems, and evaluating retrieval-based AI systems using metrics such as precision, recall, and similarity scoring.
I am passionate about turning data into meaningful insights and developing practical AI solutions that solve real-world problems. I am detail-oriented, fast-learning, and committed to delivering high-quality, reliable results.
I am open to freelance opportunities in:
I value clear communication and always aim to understand client needs to deliver effective and efficient solutions.
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