Salma Ezz

Data Analyst and aspiring Data Scientist, a final-year Computer Science and Artificial Intelligence student at Helwan University (GPA 3.4/4.0, graduating June 2027). Builds end-to-end data pipelines: web scraping, data cleaning, SQL Server star schema modeling, and interactive Power BI dashboards. Applies machine learning to real datasets, including NLP text classification (97.23% accuracy) and regression modeling, using Python, Scikit-learn, and TensorFlow/Keras.

Trained in financial statement analysis through the Digitera Business Track and a banking-sector internship at CIB. Seeking a Data Analyst or Junior Data Scientist role.

Financial Data Analysis Trainee, Digitera Program – Business Track at iCareer & Eraasoft, in partnership with Plan International Egypt (2026 – 2026)

• Analyzed the three main financial statements (Income Statement, Balance Sheet, Cash Flow Statement) and used financial ratios to assess profitability, liquidity, efficiency, and leverage.
• Practiced two data analysis workflows: Web data → Power Query → Data Cleaning → DAX → Power BI, and Python → SQL → Power BI.
• Completed a capstone project, the EGX Financials Dashboard, covering data collection, cleaning, modeling, and dashboard building.

Intern at Commercial International Bank (CIB) (2025 – 2025)

• Gained practical insight into core banking operations, ESG practices, and how AI improves efficiency, decision-making, and customer experience in banking.
• Studied cybersecurity principles and digital transformation trends in the banking industry.

B.Sc. in Computer Science and Artificial Intelligence | Artificial Intelligence specialization – Helwan University (2023 – 2027-06)