Omar Attawneh

Highly motivated and detail-oriented recent graduate in Data Science and Artificial Intelligence from Princess Sumaya University, with a strong academic record (GPA: 80.1%). Passionate about transforming raw data into actionable insights to drive decision-making. Proficient in computer vision, digital image processing, data analysis, machine learning, deep learning, and natural language processing (NLP), with hands-on experience in Python. Eager to apply technical expertise, contribute to innovative projects, and grow within a dynamic organization in a junior role in data engineering or related fields.

• Cervical Disk Herniation Diagnosis System: Developed a computer vision system based on Detection Transformers to diagnose Cervical Disk Herniation from MRI scans in cooperation with Jordan University Hospital (JUH) obtaining real-life cases as my graduation project.

• Advanced Wikipedia Search Feature: Developed an advanced search feature for Wikipedia articles, leveraging the BERT tokenizer for enhanced text tokenization and retrieval capabilities. https://github.com/OmarTheProgrammerrr/information_retrieval_ensemble.

• UNICEF Employment Data Analysis: Analyzed UNICEF employment data to extract insights on employment trends and employee characteristics used in their hiring process. https://github.com/OmarTheProgrammerrr/analysis_on_UN_recruitment_process

• NLP Classifier Model for Movie Genres: Built an NLP classifier model for movie genres utilizing transformers and model embedding.

• Weather Forecasting Model: Developed a weather forecasting model using supervised learning algorithms highlighting analytical and problem-solving skills. https://github.com/OmarTheProgrammerrr/wids_2023_soulotion.

• Enhanced TOTP system Using LLMs : Developed an Enhanced Time-Based One Time Password System Utilizing Large Language Models Capabilities. https://github.com/OmarTheProgrammerrr/LLM-TOTP.