Hello, I'm
Mohammed
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Engineered ETL pipelines processing 122K+ records — distributed with PySpark, containerized in Docker, and delivered as Power BI dashboards.
Hello, I'm
Engineered ETL pipelines processing 122K+ records — distributed with PySpark, containerized in Docker, and delivered as Power BI dashboards.
I'm a university student with a deep fascination for leveraging data to solve complex problems. Driven by the potential of Artificial Intelligence and Data Science to shape the future, I've been building hands-on experience with the tools and thinking that power modern data systems.
My expertise spans the full data lifecycle — from ingesting and cleaning messy real-world data, to building automated pipelines, to generating actionable insights through visualization. I believe the best insights come from pipelines you can trust, and I write code with that reliability in mind.
Currently progressing through the Data Science career track on DataCamp, and selected for the Digital Egypt Pioneers Initiative (DEPI) — a prestigious traineeship under the Ministry of Communications and Information Technology focused on Data Engineering, AI, and Big Data Processing.
The tools and technologies I use to build reliable data solutions.
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Where I built my foundation — from research-driven STEM to hands-on computer science.
"Learning by Doing" — a Japanese-inspired, research-oriented curriculum emphasizing practical application from day one.
Part of a highly selective national network for gifted students. Curriculum built around solving Egypt's "Grand Challenges" through scientific research and engineering prototypes.
Selected for a prestigious national traineeship focused on building expertise in core Data Engineering, AI, and Big Data Processing methodologies.
Actively building practical data science fluency through hands-on courses covering analysis, visualization, and machine learning fundamentals.
From raw data to actionable dashboards — here's how I can help.
End-to-end Extract, Transform, Load pipelines that ingest messy data, clean and reshape it, and deliver it reliably to databases — fully automated and reproducible.
Turn noisy, incomplete datasets into analysis-ready tables. Imputation, deduplication, format standardization, and validation — with full transparency on what changed and why.
Interactive, visually compelling dashboards that surface the metrics that matter. From data modeling to calculated measures to polished drill-through reports.
Automate the repetitive stuff — file processing, report generation, data syncs, web scraping. If it's boring and you do it every day, I can script it away.
Publication-quality charts and visual stories that reveal patterns in your data. Custom color palettes, annotation, and multi-panel layouts for reports and presentations.
Schema design, table relationships, and optimized queries for SQL Server and relational databases. Clean structure that makes your future queries fast and painless.
I'm currently looking for internship or entry-level opportunities where I can contribute to a team, grow as a data professional, and help turn data into valuable insights.