Data Science graduate with hands-on experience designing, training, and deploying deep learning image-based systems, with strong skills in data exploration, statistical analysis, and feature engineering to derive actionable insights, bridging ML models with practical software applications.

Noor Al-Haj Ali

Data Science graduate with hands-on experience designing, training, and deploying deep learning image-based systems, with strong skills in data exploration, statistical analysis, and feature engineering to derive actionable insights, bridging ML models with practical software applications.

Available to hire

Data Science graduate with hands-on experience designing, training, and deploying deep learning image-based systems, with strong skills in data exploration, statistical analysis, and feature engineering to derive actionable insights, bridging ML models with practical software applications.

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Work Experience

AI R&D Intern at Smart Clouds Software
October 2, 2025 - March 2, 2026
Evaluated the technical feasibility of AI and computer vision projects and defined solution approaches. Researched, selected, and implemented suitable deep learning models for diverse computer vision applications. Executed iterative training, testing, evaluation, and model refinement to optimize performance. Assisted with QA, debugging, and software testing during product development. Strengthened collaboration and problem-solving within a distributed team.
Data Analyst Intern at Uptrail
July 1, 2025 - August 31, 2025
Completed weekly data analysis projects using Python, SQL, and visualization techniques. Provided required hardware, software, and connectivity support while gaining exposure to Agile workflows. Developed strong communication and problem-solving skills.
Technical & Product Intern at Looc.ai
February 18, 2025 - May 18, 2025
Assisted with QA, debugging, and software testing for product development. Strengthened collaboration and problem-solving skills within a distributed team.
IT & Network Intern at Orange
July 1, 2024 - August 31, 2024
Developed segmentation-guided CycleGAN framework for CT generation (2025 ICTS), generating accurate synthetic CTs from MRIs to eliminate patient radiation exposure. Aligned target segmentation and generated segmentation maps using a universal segmentation model to overcome scan misalignments and outperform baseline synthesis accuracy.

Education

B.Sc. Data Science and Artificial Intelligence at Princess Sumaya University for Technology
October 14, 2020 - September 22, 2024

Qualifications

Google Data Analytics Professional Certificate
August 29, 2024 - August 29, 2030
Academic IELTS
August 29, 2024 - November 23, 2026

Industry Experience

Software & Internet, Computers & Electronics, Education, Professional Services, Healthcare

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