Data Scientist | Power BI Developer | AI Enthusiast
Data Scientist | Power BI Developer | AI Enthusiast
A comprehensive introductory course on Artificial Intelligence covering machine learning fundamentals, Python programming, and practical applications using TensorFlow, PyTorch, Pandas, and OpenCV.
Comprehensive program covering advanced AI topics such as deep learning, computer vision, and NLP. Included hands-on implementation of neural networks, transfer learning, and model evaluation using TensorFlow, PyTorch, and real-world datasets across various domains.
Built and optimized ETL pipelines to process and clean 500GB+ Oracle database for analytics purposes. Developed executive-level dashboards in Power BI to support strategic decision-making. Designed an indoor navigation web application using Dijkstra’s algorithm for efficient pathfinding within Aramco offices. Collaborated in agile cross-functional teams and received a Certificate of Appreciation for outstanding performance and innovation.
This project aims to develop a smart system that monitors water quality in real time by integrating Internet of Things (IoT) technologies with Artificial Intelligence (AI). The system uses multiple sensors connected to an Arduino board to collect environmental data, which is then processed, analyzed, and displayed in a user-friendly mobile application with AI-driven insights.
Designed an interactive Power BI dashboard to visualize real estate transaction data across Saudi Arabia. Included dynamic maps, daily sales trends, and city-wise comparisons to support data-driven decision making.
Designed a Power BI dashboard to explore commercial registration data filtered by the year 2015. Visualizations included legal entity breakdowns, capital declarations, and registration trends to support regulatory insights and strategic planning.
Developed a deep-learning model using ResNet50V2 to classify sheep breeds from images, achieving 98.34% training accuracy. Techniques included data augmentation, class balancing, and transfer learning tailored for livestock image analysis. Tools: TensorFlow, AdamW, Keras, ImageDataGenerator, Pandas.
Saudi Arabia