Dana Alzaghir
I’m Dana Alzaghir, a computer science graduate from Beirut Arab University with a strong interest in data science and analytics.
About
I’m Dana Alzaghir, a computer science graduate from Beirut Arab University with a strong interest in data science and analytics. I enjoy working with real-world datasets and turning raw information into structured, actionable insights, whether through cleaning and preprocessing data, building predictive models, or analyzing results to support better decisions.
I’ve gained practical experience by working with datasets from different domains—reviewing and structuring information from large collections of PDFs, analyzing complex data using Python tools like Pandas and NumPy, and developing machine learning models with Scikit-learn. Alongside my data work, I’m also comfortable communicating with stakeholders and tracking performance metrics, supported by my experience in communication and social media management.
- 1 year's experience
- Joined September 2026
Skills· 11
Languages
- ArabicFluent
- EnglishFluent
Industry experience
- Software & Internet
- Education
- Non-Profit Organization
- Media & Entertainment
- Computers & Electronics
Work experience· 5 roles
Reviewed and analyzed thousands of newspaper PDFs to extract and structure organization-specific information into a dataset. Contacted organizations and stakeholders to collect and verify information for organizational databases. Managed and maintained social media accounts across multiple platforms, ensuring consistent branding and content publishing. Monitored social media performance and tracked key engagement metrics to evaluate content effectiveness and inform future strategies.
Practiced real-world data analysis projects using Power BI and Tableau. Worked with DAX and large datasets to build dashboards and analyze performance through structured reporting.
Analyzed complex datasets using Pandas and NumPy to identify patterns, trends, and actionable insights. Built and optimized machine learning models with Scikit-learn to predict customer behavior, achieving 80% accuracy. Collaborated on a dental image analysis project, handling data preprocessing, augmentation, and pipeline development to support accurate disease classification.
Education
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