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a7madv4d2/README.md

👋 Hi, I'm Ahmed Elsayed Abdelmawla Elsayed

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 (Beginner)

🚀 Skills

  • 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

💼 Professional Experience

  • 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.

📊 Featured Projects

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.

🎓 Education & Certifications

  • 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

🏆 Awards

  • 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.

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  1. PostgreSQL-and-Power-BI-Project PostgreSQL-and-Power-BI-Project Public

    SQL analysis of Forbes Global 2000 using CTEs, window functions, subqueries and views.

  2. Breast-Cancer-Analysis Breast-Cancer-Analysis Public

    End-to-end ML pipeline on the Wisconsin dataset—PCA/LDA for reduction, Logistic/SVM/RandomForest/KNN/GBM, cross-validation, and ROC/F1 comparisons.

    Jupyter Notebook

  3. Heart-Failure-Analysis Heart-Failure-Analysis Public

    Clinical ML study with EDA, logistic regression for mortality prediction, K-Means risk cohorts, t-tests, and evaluation (accuracy/recall/F1/Kappa).

    Jupyter Notebook

  4. COVID-19-Vibe-Analytics-Dashboard COVID-19-Vibe-Analytics-Dashboard Public

    Visual analytics of 2020–2022 vaccination progress: choropleths, time-series with sliders, bubble/treemap and heatmaps highlighting pace and equity gaps.