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Hi, I’m Abdelrahman Tarek, a data scientist passionate about turning data into practical insights. I currently contribute to a Documents Intelligence System at Smart Vision Technology, where I combine fine-tuned LLMs and OCR to extract, analyze, and verify information from both structured and unstructured documents. I also design predictive and analytical models to support data-driven decisions across university-case studies and sales analytics. I enjoy building scalable analytics solutions and mentoring teammates as the Vice Head of Data Science at GDSC Cairo University. I’m continuously learning—recently exploring AWS and Generative AI tooling—to accelerate decision making and deliver value across projects.…Hi, I’m Abdelrahman Tarek, a data scientist passionate about turning data into practical insights. I currently contribute to a Documents Intelligence System at Smart Vision Technology, where I combine fine-tuned LLMs and OCR to extract, analyze, and verify information from both structured and unstructured documents. I also design predictive and analytical models to support data-driven decisions across university-case studies and sales analytics. I enjoy building scalable analytics solutions and mentoring teammates as the Vice Head of Data Science at GDSC Cairo University. I’m continuously learning—recently exploring AWS and Generative AI tooling—to accelerate decision making and deliver value across projects.

Abdelrahman Tarek

Data Scientist, AI Developer, Developer, +3

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Hi, I’m Abdelrahman Tarek, a data scientist passionate about turning data into practical insights. I currently contribute to a Documents Intelligence System at Smart Vision Technology, where I combine fine-tuned LLMs and OCR to extract, analyze, and verify information from both structured and unstructured documents. I also design predictive and analytical models to support data-driven decisions across university-case studies and sales analytics. I enjoy building scalable analytics solutions and mentoring teammates as the Vice Head of Data Science at GDSC Cairo University. I’m continuously learning—recently exploring AWS and Generative AI tooling—to accelerate decision making and deliver value across projects.…Hi, I’m Abdelrahman Tarek, a data scientist passionate about turning data into practical insights. I currently contribute to a Documents Intelligence System at Smart Vision Technology, where I combine fine-tuned LLMs and OCR to extract, analyze, and verify information from both structured and unstructured documents. I also design predictive and analytical models to support data-driven decisions across university-case studies and sales analytics. I enjoy building scalable analytics solutions and mentoring teammates as the Vice Head of Data Science at GDSC Cairo University. I’m continuously learning—recently exploring AWS and Generative AI tooling—to accelerate decision making and deliver value across projects.

Available to hire

Hi, I’m Abdelrahman Tarek, a data scientist passionate about turning data into practical insights. I currently contribute to a Documents Intelligence System at Smart Vision Technology, where I combine fine-tuned LLMs and OCR to extract, analyze, and verify information from both structured and unstructured documents. I also design predictive and analytical models to support data-driven decisions across university-case studies and sales analytics.
I enjoy building scalable analytics solutions and mentoring teammates as the Vice Head of Data Science at GDSC Cairo University. I’m continuously learning—recently exploring AWS and Generative AI tooling—to accelerate decision making and deliver value across projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at Smart Vision Technology

October 1, 2024 - Present

Documents Intelligence System: developed an intelligent document verification system leveraging fine-tuned LLMs and OCR technologies to extract, analyze, and validate key information from structured and unstructured documents. Designed predictive and analytical models using IBM SPSS Modeler for university case studies to support data-driven decision making; Led project predicting employee attrition for AUK. Implemented RAG with LLMs to analyze sales data via SQL and statistical tests; Earned IBM badges watson.ai and watson.governance.

Microsoft Machine Learning Trainee at DEPI

October 1, 2024 - September 8, 2025

Covered fundamentals in statistics, linear algebra, data science, ML, and Azure AI. Built Generative Adversarial Networks and NLP models using attention mechanisms. Applied prompt engineering for generative AI tasks.

Vice Head of Data Science at GDSC Cairo University

December 1, 2023 - September 8, 2025

Educated team members on the full data science project lifecycle, including EDA, data preparation, and feature engineering. Provided guidance on machine learning algorithms and how to apply them effectively. Delivered workshops covering the full data science lifecycle.

AI & ML Summer Program at Sprints

September 1, 2022 - September 8, 2025

Learned Python visualization, machine learning foundations, neural networks, and deep learning.

Data Scientist at Smart Vision Technology

October 1, 2024 - Present

Developed an intelligent Documents Intelligence System leveraging fine-tuned LLMs and OCR technologies to extract, analyze, and validate key information from structured and unstructured documents. Designed and implemented predictive and analytical models using IBM SPSS Modeler for multiple university case studies to support data-driven decision making. Led a project to predict employee attrition for AUK. Employed Retrieval-Augmented Generation (RAG) with LLMs to analyze sales data via SQL and statistical tests using integrated tools. Earned IBM badges: watson.ai, watson.governance.

Microsoft Machine Learning Trainee at DEPI

October 1, 2024 - September 8, 2025

Studied fundamentals in statistics, linear algebra, data science, ML, and Azure AI. Built Generative Adversarial Networks and NLP models using attention mechanisms. Applied prompt engineering for generative AI tasks.

Vice Head of Data Science at GDSC Cairo University

December 1, 2023 - September 8, 2025

AI & ML Summer Program at Sprints

September 1, 2022 - September 8, 2025

Learned Python visualization, machine learning foundations, neural networks, and deep learning. Gained hands-on experience with practical ML tasks and project workflows.

Data Scientist at Smart Vision Technology

October 1, 2024 - Present

Led development of a Documents Intelligence System leveraging fine-tuned LLMs and OCR to extract, analyze, and validate information from structured and unstructured documents. Designed and implemented predictive and analytical models for university case studies using IBM SPSS Modeler, supporting data-driven decision-making. Led a project to predict employee attrition for AUK. Applied Retrieval-Augmented Generation (RAG) with LLMs to analyze sales data via SQL and statistical tests. Earned IBM badges: watson.ai, watson.governance.