
Junior Data Scientist with an MSc in Data Science and a strong foundation in Machine Learning, Predictive Modeling, and Data Analytics. Experienced in building and evaluating end-to-end ML models using Python and applying data-driven approaches to support forecasting and decision-making. Exposure to Deep Learning, NLP, and modern AI concepts, with a strong interest in applying analytics and AI solutions to real business problems in cross-functional environments.
Programming & Data:
- Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (basic queries, joins, aggregations), Microsoft Excel (data analysis, pivot tables)
Machine Learning & AI:
- Classification, Regression, Clustering, Predictive Modeling & Model Evaluation, Feature Selection & Hyperparameter Tuning, Deep Learning fundamentals (ANN, NLP basics)
Generative AI (Foundational Exposure):
- Large Language Model (LLM) concepts, Retrieval-Augmented Generation (RAG) fundamentals, Conversational AI & chatbot concepts
Visualization & BI:
- Data visualization using Python, Power BI (basic dashboards & KPIs)
Tools & Platforms:
- TensorFlow, Keras, PyTorch, Jupyter Notebook, Google Colab, Git, Kaggle, GitHub
• IELTS Academic (Overall 6.0) – British Council & Unihouse; can update if required.
• IELTS Academic (Overall 6.0) – British Council & Unihouse; can update if required.
• JEA Certified Program – Data Science & ML with Python.
• Machine Learning Courses – Udemy.
• Professional Electronic Design Course – Dr. Walid Issa Academy, UK (Paid).
• PV Solar Systems Design (3 Levels) – Taqetna Co., Amman (2017, with T-RED Certificate).