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Tmara Taha

@tmarataha

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NLP & machine learning practitioner building RAG document assistants and text analysis tools with Python.

Germany

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I built a RAG Document Assistant that chunks documents, creates embeddings, and retrieves semantically relevant context to answer questions. My projects also include an NLP Study Assistant chatbot and a job-ad analyzer for skill extraction and sentiment analysis.

At Trier University, I’m pursuing an MSc in Natural Language Processing and have implemented and evaluated Word2Vec models for sentiment analysis. My earlier work as a Legal Documentation Specialist involved transcribing and structuring legal text, experience I can apply to document processing and corpus curation.

Experience

Work history, roles, and key accomplishments

Current

Cashier

Current

Burger King

Mar 2024 - Present (2 years 7 months)

Manages part-time work alongside a full-time Master's degree, demonstrating strong reliability and time management under pressure.

Customer Service Time Management Reliability

Legal Documentation Specialist

First Instance Court

Feb 2018 - May 2022 (4 years 3 months)

Transcribed and structured high volumes of legal text with precision and strict confidentiality, formatting complex documents to exact judicial standards. Skills directly transferable to NLP data annotation, corpus curation, and document processing tasks.

Data Annotation Document Processing Attention To Detail Confidentiality

Education

Degrees, certifications, and relevant coursework

Trier University

Master of Science, Natural Language Processing

2025 -

Pursuing a Master of Science in Natural Language Processing with coursework in NLP, machine learning, deep learning, information retrieval, AI, and software development.