Shahad Almomen
Dammam,Saudi Arabia
Summary
AI graduate with strong expertise in machine learning, deep learning, computer vision, and data analytics. Skilled in Python, RapidMiner, and data-driven decision-making, with hands-on experience in model building, evaluation, and business-focused data analysis. Passionate about solving real-world problems through AI and ML solutions.
Overview
3
3
years of professional experience
1
1
Certification
Work history
AI Specialist Intern
Sabic
Jubail, Eastern Province
02.2025 - Current
- Delivered 3+ AI and data analysis projects using RapidMiner.
- Earned multiple RapidMiner Academy certifications, with final completion pending for CDS graduation.
- Gained exposure to business process modeling tools (IBM BPM/BAW) and theoretical knowledge in Big Data.
AI intern
IAU
Dammam, Eastern Province
06.2024 - 08.2024
- Developed machine learning models for various research and real-world use cases.
- Deployed AI models using Django for web-based demonstration (focus on deployment, not development).
- Co-authored two AI research papers focused on ML applications in business and education sectors.
- Strengthened skills in ML pipelines, data analysis, and model evaluation.
AI Boot Camp Organizer
AI & Robotics Club
Dammam, Eastern Province
12.2022 - 01.2023
- Delivered an educational session on image recognition and AI fundamentals for engineering and CS students.
- Assisted in organizing AI learning activities to build awareness of AI technologies.
Education
Bachelor's degree - AI
Imam Abdulrahman Bin Faisal University
Dammam, Eastern Province 01.2019 - /2024
Skills
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Data Mining & Analysis (RapidMiner)
- Python Programming
- Teamwork & Problem Solving
Languages
Arabic
Native
English
Advanced
Certification
Professional Citizen Data Scientist - 3 June 2025
Projects
- Predictive Modeling for Business Decision Support:
Developed recruitment and bankruptcy prediction models, applying ensemble learning, achieving 95%–97% accuracy. (Python, Scikit-learn, LightGBM, Pandas) - Computer Vision for Campus Safety:
Built a YOLOv8-based system for real-time monitoring, including license plate, seatbelt, and parking occupancy detection, achieving 84–100% recall rates. (Python, YOLOv8, OpenCV, TensorFlow) - Machine Learning Classification Projects:
Implemented multiple ML models for tasks such as mental health prediction, spam detection, medical appointment no-show prediction, and osteoporosis classification, with accuracy ranging from 79% to 98%. (Python, Scikit-learn, RapidMiner) - Data Analytics Projects (SABIC CDS Program):
Conducted data-driven analyses for projects like Life Expectancy Prediction, Password Strength Classification, and Medical No-Show Prediction, using RapidMiner with a focus on business insights and modeling techniques.
Timeline
AI Specialist Intern
Sabic
02.2025 - Current
AI intern
IAU
06.2024 - 08.2024
AI Boot Camp Organizer
AI & Robotics Club
12.2022 - 01.2023
Bachelor's degree - AI
Imam Abdulrahman Bin Faisal University
01.2019 - /2024
Similar Profiles
Sultan AlmahdalySultan Almahdaly
Sr. Process Risk Management at SABICSr. Process Risk Management at SABIC
HAROLD LOFTINHAROLD LOFTIN
Technology Specialist at SABICTechnology Specialist at SABIC
Omar AloyoniOmar Aloyoni
Global Supply Chain COOP at SABICGlobal Supply Chain COOP at SABIC
Anas AlShaheen , MS.c in MEAnas AlShaheen , MS.c in ME
Field HSE Specialist at Schlumberger (SLB)Field HSE Specialist at Schlumberger (SLB)
OMAR AL-HARBIOMAR AL-HARBI
Lessing Specialist at NUBUL REALESTATELessing Specialist at NUBUL REALESTATE