Alaa Hassan

Data analyst with hands-on experience turning raw, messy datasets into decision-ready insights using Python, SQL, Power BI, Tableau, and Excel. Trained through Digilians (Ministry of Communications & Information Technology x Egyptian Military Academy), a competitive nine-month, 1,330-hour full-time program covering statistical analysis, machine learning, deep learning, and applied generative AI. Built and shipped 5 end-to-end ML/DL projects and 40+ BI dashboards.

A philosophy background underpins the structured, logical reasoning applied to every dataset.

Junior Applied AI & Data Analyst at Digilians (Digital Pioneers Initiative) — MCIT x Egyptian Military Academy (2025-12 – 2026-09)

• Analyzed 20+ structured datasets using Python, SQL, Excel, and SPSS to deliver actionable insights under government-grade data standards.
• Designed and automated Power BI and Tableau dashboards for real-time KPI tracking and executive reporting.
• Owned end-to-end data pipeline work: cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).
• Built and evaluated predictive machine learning models (regression and classification) and applied generative AI techniques, including LLM fine-tuning and Retrieval-Augmented Generation (RAG).

Digital Transformation & AI Training at Sadat Academy for Management Sciences (2026-09)

One-and-a-half-month practical placement applying data analytics and AI skills in an administrative-sciences setting, following the Digilians program.

Freelance Data Analyst at Freelance, Remote (2026-02 – Present)

• Built 3 Excel and Power BI dashboards for freelance clients across different industries.

B.A. in Philosophy – Suez Canal University, Ismailia, Egypt (2012 – 2015)