I build with data, engineer with purpose,
and solve for impact.
I’m a Data Solutions Engineer and Computer Science graduate from Mansoura University, focused on turning complex data into practical business solutions.
Build interactive Power BI dashboards and reporting solutions that turn operational data into clear KPIs and actionable insights.
Design SQL-based data workflows, ETL pipelines, and structured data models that make reporting reliable, scalable, and easier to maintain.
Apply analytical thinking and machine learning to explore patterns, solve practical problems, and support data-driven decisions.
Designing interactive Power BI executive dashboards to visualize KPIs and operational trends. Engineering end-to-end ETL pipelines with Power Query, building advanced DAX measures for multidimensional reporting, and developing automated data workflows using Power Automate and PowerApps.
Developed supervised, unsupervised, and reinforcement learning models on real-world datasets. Deployed scalable ML solutions on Microsoft Azure and implemented deep learning pipelines with TensorFlow and PyTorch, covering computer vision and NLP with transfer learning techniques.
Awarded Best Business Model for the Roshtty medical prescription system, bridging deep technical AI capabilities with scalable market viability.
A 1-month intensive competition in Software Engineering and AI, combining technical challenges and on-site defense evaluated by industry experts.
Google Developer Groups hackathon focused on rapid development of innovative real-world software solutions under strict time constraints.
Hover over any skill or domain to inspect workflows, stack integration, and project applications
Querying, cleaning, and transforming structured data to uncover patterns and answer core business questions.
Translating metrics into high-impact visual stories, dynamic KPI scorecards, and executive reporting suites.
Architecting robust ETL workflows, dimensional models (Star & Snowflake), and enterprise data warehouses.
Deploying scalable data applications, containerized microservices, and automated continuous delivery pipelines.
Training predictive models, NLP embeddings, and computer vision systems that automate decisions.
Building full-stack analytical interfaces, scientific computing utilities, and business workflow automations.
Selected work across analytics, data engineering, and intelligent systems.
Data structures, graph algorithms, dynamic programming, and 60+ SQL analytical query solutions.
Competitive programming under time and resource constraints — algorithmic speed, greedy logic, and proofs.
Have a data challenge worth solving? Let's turn it into something measurable.