As data advances at lightning speed, learning fuels my curiosity while evolving data drives my journey sharpening my skills and putting them to work on innovative projects in a dynamic team environment.
Data warehouses, predictive models, and dashboards spanning fraud detection, healthcare, and research into the mental health of children in conflict.
A scalable data warehouse for credit card fraud detection, built on a starflake schema with an ETL pipeline that keeps transaction data accurate and analysis-ready. Pairs an explainable fraud-prediction model with time series and network analysis, surfaced through an interactive dashboard.
A study of the mental health of Lebanese children aged 8–10 before and after the 2024 war, combining SPSS statistical analysis with Python factor analysis, feature engineering, and predictive modelling. Findings show that uncertainty about home destruction, avoidance of war topics, and separation from parents each carried heavier psychological cost than expected.
A binary classification model that predicts the presence of heart disease from clinical indicators, trained and evaluated on patient medical records and exported as a reusable joblib artefact.
An interactive Power BI dashboard over a cleaned and preprocessed heart disease dataset, built to surface risk factors and trends for healthcare decision-making.
A PostgreSQL project modelling insurance claims end to end — schema and table design, data insertion, analytical queries, and a pass over query performance and access security.
A web application for managing a veterinary practice — appointments, animal records, and day-to-day clinic operations.
A mobile application for cataloguing a library's collection and tracking borrowing and returns.
A mobile application for logging everyday spending and keeping a running view of personal expenses.
Languages
Machine Learning & Statistics
Data Engineering
BI & Visualization
Ways of Working
From intrusion detection research in Strasbourg to data analysis, data fixes, data pipelines and business intelligence in Beirut.
Data Analyst
Building and maintaining data pipelines and architectures, designing internal and business intelligence dashboards, running statistical analyses and machine learning over complex datasets, and designing Python APIs to support internal applications.
AI & Cybersecurity Research Intern
Built an AI-powered intrusion detection system using graph neural networks to identify cybersecurity threats in network traffic, improving detection capabilities through advanced pattern recognition. Conducted research on network security analysis, implementing neural networks and GraphSAGE to classify malicious activities and enhance real-time threat detection systems to enhance cybersecurity defenses by modeling network behaviors as dynamic graphs, contributing to advanced threat detection methodologies.
Data Entry Clerk
Developed and maintained data pipelines and architectures, designed and implement internal and business intelligence dashboards and robust APIs using Python to support various applications.
Private Teacher
Taught students in grades 7 to 9, delivering private sessions across Mathematics, Physics, Chemistry, and Biology.
Lebanese University
Lebanese University
Lebanese University