TAHANI NAWAF EID ALRUQI

A highly skilled professional with expertise in Python, Java, and HTML, complemented by proficiency in Microsoft Office applications. Demonstrates strong administrative and organisational skills, with a proven ability to solve complex problems effectively. Excels in both independent work and collaborative team environments, showcasing excellent communication and IT skills. Enthusiastic and committed to delivering high-quality results under pressure.

• 2025 — Excel Bootcamp for Data Processing and Analysis
• 2023 — Virtual work experience as Data Analyst, Misk
• 2023 — Virtual work experience as AI Software Developer, Microsoft in Misk
• 2021 — Introduction to Data Science, Ministry of Communications & IT
• 2021 — Basics of Programming & Smart App Design, Taif University

Conducted an in-depth research study on improving Arabic chatbot performance using state-of-the-art transformer models and transfer learning techniques., Implemented and evaluated several Arabic NLP models, including AraBERT, CAMeLBERT, and AraElectra (SQuAD / Generator / Discriminator)., Designed and executed experiments using two benchmark datasets (398 questions, and a larger set of 1,395 questions with 365K+ Arabic Wikipedia documents)., Analyzed model outputs using confidence and semantic similarity metrics to assess accuracy and contextual relevance., Achieved superior results with AraElectra-SQuAD, which demonstrated the highest confidence and robustness across both datasets., Highlighted the model’s potential for real-world applications such as intelligent Arabic chatbots, virtual assistants, and information retrieval systems., Contributed to advancing Arabic NLP by demonstrating the effectiveness of transformer-based architectures in extractive question-answering tasks.