نور عمر حسين ابو حمدان

About

Data Science and Artificial Intelligence student with practical academic project experience in data analysis, machine learning, NLP, computer vision, and AI using Python and SQL. Interested in applying data skills in a real-world environment and growing as a Data Analyst, Data Scientist, or AI professional.

Education

• B.Sc. in Data Science and Artificial Intelligence
  University College of Applied Sciences (UCAS)
  Data Science and Artificial Intelligence · 2022 – 2027

Skills

• SQL <3 months
• Data Preprocessing <3 months
• Data Visualization <3 months
• Python <3 months
• Classification <3 months
• Data Cleaning <3 months
• Feature Engineering <3 months
• NumPy <3 months
• Pandas <3 months
• Streamlit <3 months
• scikit-learn <3 months
• OpenCV <3 months
• Data Warehousing <3 months
• PyTorch <3 months
• Neural Networks <3 months
• CNN (Convolutional Neural Network) <3 months
• Data Modeling <3 months
• ETL <3 months
• Exploratory Data Analysis <3 months
• Natural Language Processing <3 months
• Cloud Architecture <3 months
• Hybrid Cloud <3 months
• LLMs <3 months
• Transformers <3 months
• Regression <3 months
• IAM <3 months
• Image Classification <3 months
• SaaS <3 months
• Principal Component Analysis <3 months
• Ensemble <3 months
• Cross Validation <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Google Colab <3 months
• Hugging Face <3 months
• Jupyter Notebook <3 months
• PostgreSQL <3 months
• TensorFlow Lite <3 months
• VS Code <3 months

Projects

• HopeCloud — Cloud-Based Orphan Care System
  Cloud Architecture, SaaS, IAM, Database Systems

  Designed a cloud-based system concept for managing orphan-care information and services. Applied cloud computing concepts including SaaS architecture, identity and access management, and data storage with a focus on scalability, accessibility, and secure information management.

• Sales Data Warehouse
  PostgreSQL, Python, Pandas, ETL, Data Modeling

  Designed a relational data warehouse structure for sales analysis. Developed ETL processes to clean, transform, and load data into PostgreSQL and applied data modeling and validation techniques to maintain data quality and relationships.

• AI-Powered Orphan Information Retrieval System
  Python, PostgreSQL, LangChain, Ollama, Qwen2.5, Streamlit

  Developed a conversational information retrieval system for querying structured humanitarian data using natural language. Integrated a local LLM with PostgreSQL to translate user questions into database queries and implemented a Streamlit interface with safe read-only database operations.

Courses & certifications

• PCAP – Programming Essentials in Python · Cisco Networking Academy · 2023
• Intro to AI Ethics · Kaggle · 2022