Sandra Chaar
Sharjah
Summary
Artificial Intelligence undergraduate at the American University of Ras Al Khaimah with hands-on experience in machine learning, computer vision, data analysis, and programming. Passionate about building intelligent solutions and conducting impactful research. I serve as a Public Relations Officer in the Student Government Association, leading sponsorship outreach and brand partnerships for high engagement campus events. Actively seeking internship opportunities in AI and technology driven environments to further develop my practical and professional skills.
Overview
2
2
years of professional experience
1
1
Certification
Work history
Public Relations Officer
American University of Ras al Khaimah
Ras al Khaimah
10.2024 - 05.2026
- Served as liaison for student body and SGA, ensuring effective communication channels.
- Issued official announcements and updates to inform students about events and decisions.
- Developed partnerships with local businesses to negotiate sponsorships for student initiatives.
- Acted as SGA representative in outreach efforts to strengthen community ties.
- Assisted in event planning and promotion through collaboration with various stakeholders.
Education
Bachelor of Science - Artificial Intelligence
American University of Ras al Khaimah
Ras al Khaimah 09/2024 - 05/2028
Skills
- Technical skills:
- Python, C, Java
- Machine Learning
- Computer Vision
- Data Analysis (Pandas / NumPy)
- Neural Network Fundamentals
- Image Processing
- Graph & Network Analysis
- Excel (Data & Charts)
- LaTeX (IEEE formatting)
- Academic & Analytical:
- Problem Solving
- Statistical Analysis
- Research & Technical Writing
- Leaderships & Communication skills:
- Public speaking
- Professional Communication
- Team Collaboration
Certification
- Introduction to Computer Vision and Image Processing, IBM, Nov 2025
- Artificial Intelligence Fundamentals, IBM, Oct 2025
- Python Essentials 2, Cisco Networking Academy, Aug 2025
LANGUAGES
Arabic: First Language
English: C1 Advanced
projects
Stop Sign Image Classifier using Transfer Learning — IBM Skills Network
- Built a deep learning image classifier using PyTorch and transfer learning with ResNet18.
- Trained and validated the model on real datasets from IBM CV Studio to detect stop signs.
- Applied image preprocessing, dataset splitting, and performance evaluation techniques.
- Implemented cyclic learning rate scheduling to improve training efficiency.
- Saved and deployed the trained model for inference on new images.
Timeline
Public Relations Officer
American University of Ras al Khaimah
10.2024 - 05.2026
Bachelor of Science - Artificial Intelligence
American University of Ras al Khaimah
09/2024 - 05/2028