09 — Ways to work together
Useful outcomes, backed by the right kind of proof.
The evidence is intentionally unequal: public projects where they exist, experience and methods where confidentiality or publication rights limit screenshots.
Data Engineering & Migration
Data migration & reconciliation
Make complex system moves auditable, validated and dependable.
Current enterprise data-engineering role plus verified pipeline, mapping, transformation, profiling, cleansing, validation and reconciliation skills.
Confidential enterprise work is not reconstructed into fake public screenshots or client diagrams.
Discuss this workAnalytics & BI
Analytics & Power BI
Turn fragmented operational data into decision-ready reporting.
Reporting and KPI work across Al Tayseer, Guksu and Egyptian African Trade, supported by verified Power BI, dashboard and Advanced Excel skills.
Related projects show analytical decision-making, not Power BI artifacts.
Data Science & ML · AI Engineering
ML & AI product development
Build useful models and AI applications with evidence, testing and governance.
Strong public proof spans probabilistic forecasting, governed agentic workflows, computer vision and geospatial decision systems.
Public models, evaluation artifacts, system architecture and product interfaces provide direct inspectable proof.
Product & Software
Product & web development
Take digital products from requirements and architecture through coded implementation and launch.
Cross-project proof covers coded ecommerce, forecasting products, governed AI systems, technical web interfaces, geospatial applications and mobile product leadership.
Ownership language remains project-specific; product leadership is not inflated into sole coding where the evidence does not support it.