M7md Ehab

Owns enterprise data-engineering and migration workflows for banking clients across Africa and the GCC, translating heterogeneous legacy-source structures into reliable target datasets. Defines source-to-target mappings and transformation/validation rules, and profiles, cleanses, validates, and reconciles data ahead of production cutovers.

Tutors Python, Java, data analysis, data science, and machine learning across different levels and goals.

Delivered two coded business websites end-to-end from requirements and structure through launch, hosting, domains, and analytics.

Consolidated multi-brand and external-agency performance data across four group companies into a unified reporting view, aligning KPIs, timelines, and deliverables to support monthly commercial decision-making.

Built recurring sales, inventory, production, and warehouse reporting; identified stock/demand trends and aligned manufacturing/sales plans with raw-material and finished-goods availability.

Built and improved LLM-powered conversational-agent workflows in Python, including prompt/tool-calling logic and integration with external product systems. Implemented RAG and knowledge-base pipelines for company documents using document processing, embeddings, retrieval, and grounded responses.

Extracted sales, inventory, and warehouse data from ERPNext, defined KPI/reporting logic with operations and finance, and connected paid-social metrics with sales impact and product movement.

Built remote-sensing analysis systems using machine learning, deep learning, and cloud tooling.

Designed and implemented IT solutions.

Implemented machine-learning, deep-learning, and reinforcement-learning projects in Python.

Earned the Databricks Certified Data Engineer Associate credential.

Completed an AI/LLM Engineering course instructed by Ed Donner.

Grade: CGPA 3.55

BSc in Computer Science with a Data Science major, covering data structures, algorithms, SQL, machine learning, and more. Achieved a CGPA of 3.55.

15-month Data Science and AI scholarship program covering Python, SQL, data analysis, machine learning, and AWS foundations.

Completed the McKinsey Forward program at Foundation and Advanced levels.

Completed a course in Problem Solving with C++.

Completed a course in Database Management with SQL.