At The Concept Events, I engineered and integrated custom LLM workflows and GenAI tools to automate internal data processes, reducing manual reporting time by 35%.
I also developed and deployed neural network models for recruitment and retention analytics, reaching 90% accuracy in predicting workforce trends. I designed ETL pipelines for structured and semi-structured data and partnered with department heads on AI roadmaps.
Previously, as a Data Analyst at El Afak Ceramic Industry, I helped move reporting from manual spreadsheets to automated Power BI and Tableau dashboards, increasing stakeholder data visibility by 50%. I also analyzed production, supply chain, market, and customer data to inform operational and product decisions.
My projects include a modular RAG pipeline using Python and vector databases, where semantic chunking and re-ranking improved retrieval precision by 40%, and an end-to-end MLOps system for real-time network threat detection using Docker, CI/CD, and MLflow.
