Osamah Al-Dahlan

Artificial Intelligence fresh graduate with a successful track record, excelling in team collaboration and achieving shared goals. Expertise in programming, statistical analysis, and problem-solving in AI. Skilled in ML, DL, NLP, data visualization, preprocessing, and analysis. Committed to driving innovation in Data Science and Analytics.

Data Scientist

Artificial Intelligence Global Company (AIGC)

Sep 2023 – Present

Collaborate with the AI and Data Science team to deploy advanced analytics and computer vision applications across smart cities and energy sectors (oil & gas, petrochemicals, utilities, and manufacturing).

Represent the company at major conferences and exhibitions.

Develop and integrate end-to-end AI solutions, from model training to deployment.

Data Analyst Intern

Dammam Airports Company (DACO)

Jun 2022 – Sep 2022

Conducted data analysis to support airport operations and strategic planning.

Built Power BI dashboards for performance monitoring and decision-making.

Key Projects

Boiler System Project: Designed an automation system for predictive failure analysis and advisory system integration. Built an ETL pipeline, real-time dashboard, and monitoring solution that improved operational decision-making.

PPE Detection System: Developed a real-time computer vision system capable of detecting six PPE classes, integrated with live cameras and a web interface.

Time Attendance System: Built a vision model integrated with a smart camera and SQL database to detect and track employee arrivals/departures, with a web interface for attendance display.

Virtual Gauges: Created a computer vision model to read machine meters in real-time and trigger alerts.

Heat Exchangers Fouling Prediction: Developed a regression model leveraging process engineering equations to predict fouling/efficiency and optimize maintenance, visualized on a live dashboard.

Farms Analysis: Conducted exploratory data analysis (EDA) with Python to identify key agricultural data trends, including well usage and changes.

Data Analytics Platform: Built a no-code analytics platform with Streamlit, enabling preprocessing, EDA, visualization, and machine learning predictions for non-technical users.

Power BI Dashboards: Delivered 8 department-specific dashboards for DACO and a comprehensive one for MATARAT Holding.

Graduation Project: Developed machine learning models for preemptive diagnosis of Liver Cirrhosis, COPD, and Parkinson’s Disease using MongoDB and HTML.

Sentiment Analysis: Applied ML with Google Maps API to extract and analyze customer sentiment from restaurant reviews.

Arabic Sign Language Recognition: Implemented a CNN model to classify sign language gestures using deep learning.

Bachelor of Artificial Intelligence                                           2017-2023

                                                      Imam Abdulrahman Bin Faisal University

Built and constructed over 10 applications, with many different technologies starting with deep learning, AI analysis, machine learning, Data preprocessing, and Data visualization. As well as 4 different languages such as Python, Prolog, Java, C++. 

Technical Projects

• Graduation Project: Preemptive Diagnosis of Liver Cirrhosis, Chronic Obstructive Pulmonary, and Parkinson’s. Using Machine Learning, MongoDB, and HTML.
• Sentiment Analysis for Restaurant Reviews in Google Maps Using Machine Learning. Leveraged Google Maps API for data integration, and extraction of sentiment information from reviews.
• Arabic Sign Language Recognition Using deep learning. Implemented CNN architecture to analyze and classify visual patterns in sign language gestures.
• Restaurant and coffee recommendation system. By using Prolog capabilities knowledge representation and rule-based reasoning

Certifications and Achievements 

• Recommendation letter from Dammam Airport Company
• Getting Started with Power BI Desktop by Coursera
• MongoDB Database Developer Course in Python by Udemy
• The Complete Artificial Intelligence for Cyber Security 2022 by Udemy