I am a motivated and detail-oriented Data Analyst with a strong foundation in Python, SQL, Power BI, and Excel. I transform raw data into actionable insights through data cleaning, modeling, analysis, and visualization.
I have completed end-to-end data projects involving US flight data, telecom customer churn, HR analytics, hospital bed management, and automated student notifications. My work includes preparing complex datasets, writing SQL queries, creating dashboards, and communicating findings through visual KPIs.
I use Python libraries such as Pandas, Matplotlib, and Seaborn for analysis and visualization. I also have experience with SQL Server, advanced Excel, web scraping, object-oriented programming, and Power BI dashboard development.
I am interested in machine learning and artificial intelligence, with practical experience building decision tree classification models for churn prediction. I am also certified as an AWS AI Practitioner and continue developing my cloud and AI knowledge.
Beyond technical work, I have served as an AI workshop instructor and mentor for UNRWA Schools and as a student ambassador. These roles strengthened my leadership, communication, public speaking, teamwork, and ability to simplify technical concepts.
I am currently completing a Bachelor's degree in Computer Science, AI, and Data Science and am seeking opportunities to contribute analytical, problem-solving, and data-driven decision-making skills.
Conducted a full-cycle analysis of US flight data from 2015 using Python, SQL, Power BI, and Excel.
Cleaned and preprocessed complex datasets, performed SQL Server querying and data modeling, and created an interactive Power BI dashboard to visualize flight trends and delays.
Analyzed IBM Telco customer behavior data using SQL Server to examine patterns associated with customer loss.
Built a decision tree classification model to predict customer churn and identify key factors contributing to churn.
Developed a comprehensive Power BI dashboard for tracking employee performance and attrition.
Transformed raw HR data into visual KPIs to support management reporting and data-driven decision-making.
Created a Python web-scraping solution to extract student material updates from a news website.
Integrated the solution with the WhatsApp API to automatically send relevant notifications and alerts to students.
Performed extensive data cleaning, sorting, and organization for hospital capacity data in Excel.
Supported improved hospital bed allocation management through structured and accessible data preparation.
Led a specialized artificial intelligence workshop for students and explained technical concepts in an accessible manner.
Supervised and mentored students while they developed AI projects on emotion detection from images and future profession prediction.
Represented Al Hussein Technical University at Tafila Technical University as a liaison between the institutions.
Promoted HTUx programs, organized campus events and workshops, and supported a collaborative educational environment.
Bachelor of Science, Computer Science, Artificial Intelligence, and Data Science
Expected graduation in 2026. Studying computer science with a focus on artificial intelligence and data science.
Specialized Course, Python Programming
Completed specialized training in Python programming.
Training, Data Analysis
Completed intensive data analysis training covering Excel, SQL, Python, and Power BI.
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