Shahad Kasib

Highly motivated and detail-oriented Computer Science student specializing in Artificial Intelligence at Dar Al-Hekma University. With a passion for innovation, I possess exceptional leadership skills and a proven ability to manage projects efficiently. Adept at applying technical expertise in programming, AI, and data science to deliver creative solutions to complex problems. My proactive approach and commitment to continuous learning make me an asset to any forward-thinking team.

- Programming Languages: Python, SQL, HTML, CSS, Octave, JavaScript

- Artificial Intelligence & Machine Learning: Experience with K-Means Clustering, Linear Regression, and Convolutional Neural Networks (CNNs)

- Web Development: Proficient in creating responsive web designs using HTML, CSS, and Flutter

- Data Analysis & Visualization: Skilled in Python libraries such as Pandas, Matplotlib, and NumPy

- Database Management: Proficient in SQL (PostgreSQL) and Firebase for managing structured and unstructured data

- API Integration: Hands-on experience with Google Maps API and MapBox for route optimization and real-time tracking

- Mobile App Development: Expertise in building cross-platform apps using Flutter

- Version Control: Familiarity with Git and GitHub for collaborative development

• Frameworks & Tools: Django, OpenCV, TensorFlow, and PyTorch

• Cloud Platforms: Basic understanding of AWS and cloud-based deployment

• Digital Art: Creating digital illustrations and exploring AI-driven art tools.
• Automotive Enthusiasm: Passionate about car design, performance modifications, and exploring automotive technology.
• AI Innovations: Following advancements in Artificial Intelligence and experimenting with machine learning tools.
• Sports: Enjoy football, baseball and basketball as ways to stay active and improve teamwork skills.
• Creative Writing: Writing short stories or articles to express creativity and enhance communication skills.
• Tech Exploration: Testing and learning about emerging programming frameworks and tools.
• Cultural Engagement: Participating in cultural events and explaining artistic works at exhibitions.
• Travel: Exploring new places and learning about diverse cultures to broaden perspectives.
• Volunteering: Organizing events and contributing to social causes, such as environmental awareness.

Medieval History: Art and Architecture
AP Calculus AB: Higher Derivatives, Definite and Indefinite Integerals
Linear Regression with Python
Improving Math Engagement with Prodigy
Advanced Data Analytics with Python

IBM AI Foundations Badge

Volunteer Excellence Certificate

Misk Foundation Certificate

Agriculture and Environmental Monitoring Project

- Implemented a system to monitor deforestation and illegal logging activities in the Brazilian Amazon rainforest using satellite imagery and computer vision techniques.

- Leveraged the Brazilian Amazon Rainforest Degradation Dataset (1999-2019) to analyze patterns of deforestation and highlight areas of concern,

- Developed data visualization using Python libraries (pandas, matplotlib, OpenCV) to provide insights on deforestation trends.

- Designed a Weed Detection and Classification System for precision agriculture using Convolutional Neural Networks (CNNs).

- Utilized computer vision techniques for image preprocessing, weed classification, and analysis.

- Enhanced agricultural practices by integrating a binary classification model for targeted weed management.

- Presented findings and actionable insights in a professional environment, showcasing the potential of AI in environmental conservation and agriculture.

Sayyar: A Data-Driven Platform for Efficient Bus Fleet Management

- Developed an innovative platform to address transportation challenges for university students in Jeddah, incorporating Google Maps API for real-time tracking and optimized route management.

- Implemented K-Means clustering to analyze and group student commute patterns, minimizing travel time and enhancing route efficiency.

- Designed a user-centric application offering features like ride booking, subscription-based payments, real-time communication, and live vehicle tracking.

- Collaborated with transportation providers to integrate seamless scheduling and route optimization, improving operational efficiency.

- Ensured data security and user privacy by implementing advanced encryption protocols and secure payment gateways.

- Conducted stakeholder interviews and surveys to identify pain points and tailor the application to the needs of students and service providers.

Published findings and technical solutions to promote sustainable and efficient transportation in urban areas.

- Tools & Technologies: Python, Google Maps API, MapBox, PostgreSQL, Firebase, and Flutter.