Osama Namarneh

Irbid

Summary

Summary

Dedicated Artificial Intelligence graduate with a 1.97 GPA (German Scale) and a strong technical foundation in Computer Vision and Medical Image Diagnosis. Demonstrated ability to bridge the gap between intelligent algorithms and physical systems through robotics projects and industrial simulation. Aspiring to leverage advanced analytical skills and a multidisciplinary background to excel in an applied Master’s degree program

Education

Data Science and Artificial Intelligence

Yarmouk University

Irbid, Jordan

09-2025

Skills

Computer Vision & AI: Expertise in CNN Architectures (VGG16, ResNet, MobileNet), Medical Image Analysis, Image Preprocessing, and Model Optimization
Systems & Engineering: Microcontroller Programming (ESP32/Arduino Logic), Hardware-Software Interfacing, and Industrial Simulation (Arena Simulation Software)
Programming & Tools: Expert in Python (TensorFlow, Keras, Pandas, NumPy), SQL (Relational Database Design), and Cloud-based Development (Google Colab)
Data Science & Analytics: Proficiency in Exploratory Data Analysis (EDA), Statistical Modeling, and Data Visualization (Matplotlib, Seaborn)
Natural Language Processing: Foundational knowledge in Text Processing, Classification, and Sequential Models (RNNs/LSTMs)
Mathematical & Algorithmic Foundations: Advanced Probability & Statistics (Inference & EDA), Linear Algebra, Calculus, and Data Structures

Interests

Natural Language Processing (NLP), Computer Vision, Deep Learning, Robotics, and AI Applications

Soft Skills

Communication & Team Collaboration
Self-Learning and Adaptability
Research & Analytical Thinking
Problem-Solving & Critical Thinking
Time Management & Discipline
Attention to Detail
Continuous Improvement Mindset

Languages

Arabic - Native- (100/100)

English: B2 / Upper-Intermediate (IELTS candidate)

German: A1 (Currently in progress / Beginner)

Timeline

Data Science and Artificial Intelligence

Yarmouk University