Hello, I'm
Aspiring Data Scientist skilled in Python, Machine Learning, NLP, and Data Analytics. Proven ability to develop predictive models, analyze complex datasets, and deliver insights through tools like SQL, Tableau, and Power BI.
I'm a passionate Data Scientist and AI Engineer with a Bachelor's degree in Data Science & Artificial Intelligence from Irbid National University (2024). I specialize in building end-to-end machine learning pipelines, crafting intelligent AI agents, and transforming raw data into actionable insights.
With hands-on experience across deep learning, NLP, computer vision, and AI automation, I bridge the gap between cutting-edge research and real-world business applications. I thrive on solving complex problems and delivering measurable impact through data.
Irbid National University — 2024
Architecting and deploying end-to-end machine learning solutions. I specialize in creating custom models, from CNNs and RNNs to fine-tuned LLMs, that solve critical business problems and drive tangible results.
From data cleaning and exploratory analysis (EDA) to creating insightful dashboards, I provide end-to-end data solutions that drive informed decision-making.
Designing and implementing AI-driven automation systems using tools like n8n. I integrate custom RAG models to streamline complex business workflows, reducing manual processing time by 25%.
Developed a smart recycling system that helps automatically classify waste materials (95% accuracy) using CNN and analyzes consumer behavior.
View on KaggleEnd-to-end ML project predicting diabetes onset (86% accuracy with XGBoost) from comprehensive diagnostic data.
View on KaggleML model predicting sports car prices with exceptional accuracy (R² = 0.9926) using Random Forest Regressor on 1,007 records.
View on KaggleComprehensive data cleaning, feature engineering, and visualization (Tableau) to uncover trends in movie success factors.
View on KaggleAutomated detection system using fine-tuned ResNet50 (91% val accuracy) for medical image classification.
View on KaggleClassified 209,000+ news articles into 41 categories (59% accuracy) using a 1D CNN deep learning model.
View on KaggleCustom Telegram AI assistant enabling non-technical users to query documents and databases via natural language.
View on GitHubRAG-based AI agent using ChromaDB and Mistral AI embeddings to chat with documents, complete with evaluation tools.
View on GitHubA 14-part hands-on tutorial building RAG systems from the ground up — covering indexing, retrieval, generation, multi-query, RAG Fusion, RAPTOR, ColBERT, routing, and query construction.
View on GitHubRobotna · Sep 2025
Certiport · May 2025
Correlation One · Mar 2025
Udemy/365 Careers · Jul 2024
Simplilearn · Aug 2023
Unihance · Jul 2023