Detail-oriented Data Analyst and aspiring Data Scientist with a passion for turning complex data into actionable insights. IBM-certified Professional Data Analyst, currently pursuing a Master's in Sustainable Industrial Pharmaceutical Biotechnology at Università degli Studi di Siena. With a background in pharmaceutical auditing, teaching, and ML projects, I specialize in healthcare and business analytics. Let's collaborate on data-driven innovations!

📍 Siena, Italy | 🌍 Open to remote/hybrid roles worldwide
🗣️ Languages: Arabic (Native), English (Fluent, IELTS 8.0), Italian (B1)

• Programming & Tools: Python (Pandas, NumPy, Scikit-learn), SQL (PostgreSQL, MySQL), Power BI, Excel, Google Sheets
• Data Visualization: Power BI, Excel, Plotly, Seaborn, Matplotlib, Dashboard Development, Vibe Analytics
• Machine Learning: Classification (Logistic Regression, SVM, Random Forest), Clustering (K-Means), Dimensionality Reduction (PCA), Statistical Analysis (Welch’s t-tests)
• Other: Data Cleaning, EDA, Regulatory Compliance (GMP/GLP/GSDP), Project Management

• Data Analyst & GMP/GLP/GSDP Auditor @ Egyptian Drug Authority (Dec 2022 – Oct 2024)
  Analyzed audits from 150+ sites, reducing compliance violations by 20% and data errors by 30% through Excel/SQL reports and process optimizations.

• Teaching Assistant @ Pharos University in Alexandria (Nov 2020 – Jun 2021)
  Guided 100+ students in Medicinal Chemistry, boosting exam scores by 12% and reducing failure rates by 10% via interactive sessions.

• Pharmacist @ Dr. Shaker Abd Elhaleim Abo Tahon Pharmacy (2020 – 2022)
  Dispensed 500+ medications weekly with 100% accuracy, increasing revenue by 15% and patient adherence by 22% through education and inventory management.

Check out my repositories for code and details!

• Breast Cancer Classification: Built ML pipeline achieving 98% accuracy with models like SVM and Random Forest; used PCA for efficiency and visualizations for interpretability.
• Heart Failure Risk Prediction: Logistic regression model at 82% accuracy; identified key predictors via t-tests and K-Means clustering.
• Forbes Global 2000 Dashboard: Power BI & PostgreSQL analysis revealing industry trends (e.g., U.S. leads in market value).
• COVID-19 Vaccination Trends: 16+ interactive Plotly visualizations uncovering global disparities.
• COVID-19 Vibe Analytics Dashboard: Advanced dashboard with Vibe Analytics and Plotly, featuring 15+ visuals (choropleth maps, Lorenz curves, heatmaps) to analyze vaccination trends, inequalities, and efficiency metrics.

• Master's in Sustainable Industrial Pharmaceutical Biotechnology @ Università degli Studi di Siena (Oct 2024 – Present)
• Bachelor's in Pharmacy & Drug Manufacturing @ Pharos University (GPA: 3.95/4.00, Excellence with Honor)
• Certifications: IBM Data Analyst Professional, DataCamp Power BI Analyst

• Academic Honor Certificates (Pharos University, 2016–2018)

I'm actively seeking part-time Data Analyst/BI roles or ML/Data Science internships. If my skills align with your needs, let's connect!

📧 a7madv4d2@gmail.com | 🔗 LinkedIn

Thanks for visiting! ⭐ Star a repo if you like my work.