📍 Cairo, Egypt
📧 Email | 🔗 LinkedIn | 🏗️ GitHub

• Master of Science in Data Science & AI | Queen’s University (GPA: 3.95) (Nov 2023)
• Bachelor of Science in Bioinformatics | Minia University (GPA: 3.34, Graduation Project: A+) (Jun 2021)

• Ensuring data integrity and accuracy across financial systems.
• Optimizing ETL pipelines and data validation processes.

• Conducted in-depth data analysis to enhance financial product offerings.
• Designed dashboards to track key performance indicators.

• Developed an Automated Calcium Scoring AI for CT scans using deep learning.
• Implemented computer vision techniques to quantify coronary artery calcium.

• 🧬 Genetic Association Study for Type 2 Diabetes in Egyptian Population (Egyptian Journal of Medical Human Genetics, 2024)
• 🧪 Genome-wide Exploratory Analysis for NARAC Dataset (Iran J Comput Sci, 2023)

• Built predictive models and clustering techniques for user behavior insights.
• Conducted hypothesis testing for customer loyalty patterns.

• Automated contract review with transformer-based NLP models.

• Enhanced drug activity prediction using Graph Convolutional Networks (GCN).
• Focused on modeling cancer cell response to different compounds.

• Processed social media data for sentiment insights.
• Built machine learning models for polarity detection.

• Optimized predictive models using Bayesian search, Grid & Random tuning.
• Utilized XGBoost for enhanced performance.

• Combined GRU/LSTM (Text) and Conv2D (Image) models for multi-modal analysis.

• Programming: Python, R, Java, C++
• Machine Learning & AI: PyTorch, Scikit-learn, XGBoost, Transformers
• Big Data & Cloud: Azure, PySpark, Data Warehousing
• Database Management: SQL, Data Cleaning, EDA
• Statistical Analysis: Hypothesis Testing, A/B Testing, Probability Distributions

• Microsoft Certified: Azure Data Scientist Associate
• HCIA-AI - Huawei
• Big Data Essential - National Telecommunication Institute (NTI)
• Multi-omics Data Analysis - Children's Cancer Hospital 57357

🚀 Open to collaborations in AI, Data Engineering, and Bioinformatics research!