🚀 Data Scientist
🎓 Education
Bachelor of Computer Science and Artificial Intelligence
Benha University (2020 – 2024)
- GPA: 3.17/4.0
- Specialized in scientific computing, AI, and data science.
- Built academic projects in Python, SQL, and Power BI applying ML to real-world datasets.
💼 Work Experience
Data Scientist @ IDH (Nov 2024 – Present)
- Developed ML models for patient segmentation & campaign optimization, driving higher marketing ROI.
- Automated competitor scraping & market research pipelines, enabling data-driven expansion planning.
- Designed an AI-powered branch location model, aligning investment decisions with performance insights.
- Built predictive analytics workflows to improve retention and increase customer lifetime value.
- Delivered real-time dashboards & anomaly detection for executive decision-making.
Data Science Trainee @ ALX Africa (2023 – 2024)
- Collected, cleaned, and analyzed large datasets to extract actionable insights.
- Built and evaluated predictive ML models, presenting findings to stakeholders.
- Created dashboards & business reports to support strategic decisions.
Internships (2022 – 2023)
- IDH – Data Science Intern → Python, EDA, ML, Power BI dashboards.
- NTI – Big Data Essentials → Linux, SQL, Python, and big data engineering fundamentals.
- ITI – Business Intelligence Intern → Developed interactive dashboards with Power BI & Tableau.
- RAYA – Software Development Intern → Built C++ ATM system project, gaining software engineering experience.
📂 Projects
- Patient Segmentation with ML → Applied K-Means clustering to group patients by demographics & behavior, enabling personalized marketing. (Python, Scikit-learn, Matplotlib)
- Healthcare Analytics with SQL + Power BI → Designed complex SQL queries & dashboards to track visits, revenue, and retention across branches.
- Sales & Marketing Dashboard → Built interactive Power BI dashboard for campaign ROI, sales KPIs, and acquisition trends.
- Social Listening & Sentiment Analysis → Scraped online reviews and applied Sentiment Analysis model to monitor brand reputation. (Python, BeautifulSoup, Selenium)
🧑💻 Skills
Programming & Tools
Python (Pandas, NumPy, Scikit-learn, Matplotlib) • SQL (MySQL, SQL Server, Oracle) • Power BI • Tableau • Excel • C++
Data Science & Analytics
Data Cleaning & Preparation • Exploratory Data Analysis (EDA) • Machine Learning • Predictive Analytics • Web Scraping • Business Intelligence • A/B Testing
Soft Skills
Problem-Solving • Analytical Thinking • Team Collaboration • Communication