Data Analyst with less than a year in ETL pipelines, predictive modeling & web scraping.
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Assessing your cultural and operational fit
Data Analyst with experience in building automated ETL pipelines, predictive modeling, and data acquisition via web scraping. Skilled in SQL, Power BI, and Python (Pandas, Scikit-learn) to generate actionablebusiness insights through rigorous exploratory data analysis (EDA) and machine learning classification.
Arabic Open University, Egypt
Bachelor of Computer Science · Artificial Intelligence
August 1, 2021 – June 30, 2025
Kayfa: Empowering Knowledge, Transforming Futures
Internship - Transaction Data Analysis& Al Agent
May 1, 2026 – June 1, 2026
India
Commercial International Bank (CIB)
Internship - Transaction Data Analysis
July 1, 2024 – September 1, 2024
India
Employee Attrition & Attention Analytics
May 1, 2026 – May 1, 2026
• Engineered an End-to-End Analytics Pipeline in Python to integrate, clean, and process multi-source HR data from CSV format, implementing strict business constraints for data quality and integrity. • Enhanced an interactive HR analytics dashboard using Streamlit to analyze workforce behavior across multiple demographics; delivered 7 key KPI-driven metrics that uncovered a critical 49% attrition spike among employees with 3-6 years of tenure and long-distance commuters to drive targeted retention strategies. • Designed behavior-driven visualizations using Plotly to isolate high-risk cohorts (entry-level, high-overtime, and low-satisfaction segments), empowering HR teams to formulate targeted retention strategies.
View ProjectEducational Performance & Student Engagement Dashboard
May 1, 2026 – May 1, 2026
• Built a multi-source educational analytics platform using MongoDB to normalize and process 8,000+ student records; integrated a statistical risk-scoring algorithm (r=0.82$ correlation) to proactively identify at-risk students and automate academic interventions. • Applied statistical analysis (Pearson correlation) to evaluate the direct impact of attendance, video watch time, and platform engagement on final academic performance. • Improved an automated Streamlit dashboard powered by a dynamic risk-scoring algorithm to trigger proactive academic interventions.
Telecom Customer Churn Prediction
May 1, 2025 – May 1, 2025
• Expanded a Random Forest model to predict customer attrition with 95% accuracy and a 0.88 macro F1-score. • Created key performance features and performed data scaling to enhance model reliability and predictive power. • Evaluated model performance using Confusion Matrix and detailed Classification Reports.
Supervised ML
Coursera
June 1, 2026 – Present
Deep Learning with Keras
Coursera
June 1, 2026 – Present
NLP in TensorFlow
Coursera
June 1, 2026 – Present
Decision Trees
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying data analysis techniques across diverse domains (HR, education, finance, telecom). The focus on practical applications and problem-solving aligns well with a results-oriented culture. The breadth of tools and techniques used suggests adaptability and a willingness to explore different solutions. The candidate is still pursuing a bachelor's degree, indicating a strong learning orientation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business problems into analytical solutions, identify key metrics, and present findings through visualizations. The internship experiences suggest a capacity for working with real-world data and contributing to data-driven decision-making. However, without direct assessment, specific soft skills like teamwork, problem-solving under pressure, or communication in a team setting cannot be fully evaluated.