Fadi (Shoaa) Shoaa-AI Engineer | Microsoft Fabric | Data Engineering | Enterprise AI | Document AI
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Experience
Development of a production-ready Enterprise Document AI & Recommendation Platform
Freelancer
- Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
- Integration of Azure AI Document Intelligence and LLM technologies into existing business processes
- Development of robust REST APIs for automated document processing and system integration
- Extraction, validation, and storage of structured invoice data in Azure SQL as a base for analytics and machine learning models
- Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchase data
- Implementation of logging, monitoring, error handling, and validation mechanisms for stable production use
- Collaboration with business teams to define business rules and integrate the solution into existing enterprise processes
Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation
Design and development of a production-ready Microsoft Fabric Data Platform for an e-commerce company
Freelancer
- Design and development of a production-ready data platform based on Microsoft Fabric for an e-commerce company
- Build-up of a scalable Medallion architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as the foundation for analytics and AI applications
- Development of a metadata-driven ETL platform with PySpark as well as a generic incremental loading framework (SQL Server → Bronze → Silver → Gold)
- Development of reusable components for Microsoft Fabric notebooks to standardize data integration, transformation, and validation
- Implementation of automated data pipelines including monitoring, logging, error handling, and Delta MERGE strategies for stable production use
- Build-up of a Business Layer architecture for reporting, data warehouse, and reusable data products
- Integration of heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
- Close collaboration with business teams to analyze business requirements and translate them into scalable data architectures
Technologies: Microsoft Fabric, PySpark, Python, SQL Server, Delta Lake, Lakehouse, OneLake, Data Factory, Data Warehouse, REST APIs, Amazon SP-API, Google Analytics 4
Development and integration of a production-ready Enterprise HR Copilot based on Microsoft Copilot Studio
Freelancer
- Design, development, and productive rollout of an Enterprise HR Copilot based on Microsoft Copilot Studio to automate internal HR processes
- Development of an AI-powered assistant to answer employee inquiries based on a SharePoint knowledge base and internal HR documentation
- Integration of the Copilot into Microsoft Teams including greeting logic, user guidance, and role-based routing
- Automation of HR processes and approval workflows with Microsoft Power Automate to reduce manual processing steps
- Development of realistic HR documents and response templates with Azure OpenAI, taking business requirements and consistent company guidelines into account
- Implementation of prompt strategies, knowledge management, and response optimization to improve answer quality and user acceptance
- Close collaboration with business teams to analyze requirements and integrate the AI solution into existing company processes
Technologies:
Microsoft Copilot Studio, Microsoft Teams, Azure OpenAI, SharePoint, Power Automate, Power Platform, Microsoft 365, Prompt Engineering, Workflow Automation
Development of an AI-powered solution for extracting structured information from warehouse and order documents.
Freelancer
- Processing PDF and PNG documents with Azure AI Document Intelligence
- Automatic extraction of structured business data
- Implementation of fuzzy matching for data normalization
- Export of results to Excel with Pandas
- Improvement of data quality for historical documents without OCR training
Technologies: Azure AI Document Intelligence, OCR, Python, Pandas, Azure AI Services
Development of an AI-powered matching system for the automated assignment of items in specifications.
Freelancer
- Development of a Streamlit application for business users
- Integration of Azure OpenAI GPT 5 for semantic matching
- Automatic extraction and standardization of PDF documents
- Implementation of an LLM-based matching logic
- Export of results to Excel
Technologies: Azure OpenAI, GPT-5, Streamlit, Python, PDF Processing, REST APIs
Data Engineer & Business Analyst
HSBC
- Development and implementation of predictive analytics models to support data-driven decisions
- Building scalable ETL pipelines in Python & SQL to optimize data processes
- Automating complex data workflows to reduce manual work and improve efficiency
- Using Google Cloud (BigQuery, AI Platform, TensorFlow) to develop high-performance ML models
- Creating interactive BI dashboards & visualization tools with Tableau & PyQt5 for real-time analysis
Data Scientist
P.E.G. Einkaufs- und Betriebsgenossenschaft eG
- Building and further developing the Data Science department to support data-driven strategies
- Developing and implementing predictive models to optimize business decisions
- Designing and automating ETL processes to improve data quality and availability
- Using Selenium & Python to automate repetitive processes and improve data handling
- Conducting customer segmentation & RFM analyses to optimize marketing strategies
Data Science & Trading Technology Analyst (Working Student)
HSBC
- Development and implementation of automated data processes with Python, R and VBA to optimize financial data processing
- Improving Identity & Access Management (IAM) processes to optimize user access policies for trading systems
- Redesigning the IT system architecture and migrating documentation with Atlassian Confluence
- Implementing advanced customer segmentation models with PCA & K-Means clustering for data-driven decision-making
- Standardizing system migrations & IT process automation to increase operational efficiency
- Creating technical reports to optimize trading systems in support of strategic IT decisions
Working Student, Data Analysis & Programming
Innogy SE
- Development of data analysis and visualization solutions to support business decisions
- Automating internal processes by developing custom business tools in VB.NET
- Applying machine learning methods to optimize data-driven business strategies
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Banking and Finance, Retail, Information Technology, Professional Services, Transportation, and Construction.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, Finance, Operations, Product Development, and Human Resources.
Summary
I support companies in building production-ready AI and data solutions, from architecture to production operations.
My focus is on Enterprise AI, Microsoft Fabric, Data Engineering, Document AI, and modern LLM applications.
I develop scalable data platforms, Lakehouse architectures, AI-powered business processes, and intelligent document processing, and I help companies integrate AI into existing processes in a sustainable way.
My core skills:
- Microsoft Fabric & Lakehouse
- Data Engineering & ETL Frameworks
- Enterprise AI & LLM Applications
- Document AI & OCR
- Workflow Automation
- Python & PySpark
- Azure OpenAI
- SQL & Delta Lake
Skills
Enterprise Ai & Ai Engineering: Design And Development Of Production-Ready Ai Solutions, Llm Applications, Rag, Document Ai, Ai Agents, Prompt Engineering, Ai Workflow Automation
Data Engineering: Microsoft Fabric, Lakehouse, Delta Lake, Pyspark, Python, Sql, Etl/Elt, Metadata-Driven Etl, Incremental Loading, Data Pipelines, Data Warehouse
Microsoft Fabric: Fabric Notebooks, Data Factory Pipelines, Lakehouse, Warehouse, Onelake, Dataflows, Deployment, Monitoring, Performance Optimization
Document Ai: Ocr, Document Classification, Information Extraction, Structured Data Extraction, Pdf Processing, Azure Ai Document Intelligence
Cloud & Ai Platforms: Microsoft Azure, Azure Openai, Azure Key Vault, Rest Apis, Docker, Kubernetes, Git
Databases: Sql Server, Postgresql, Mysql, Delta Lake
Analytics & Bi: Power Bi, Microsoft Fabric Warehouse, Sql Analytics, Data Modeling, Kpi Dashboards
Software Engineering: Object-Oriented Development (Oop), Software Architecture, Design Patterns, Clean Code, Api Integration, Testing
Industries: E-Commerce, Enterprise Ai, Document Processing, Insurance, Data Platforms
Languages
Education
University of Duisburg-Essen
Master of Science in Mathematics · Mathematics · Essen, Germany
Al-Baath University
Bachelor of Science in Mathematics - Analytics · Mathematics - Analytics · Homs, Syrian Arab Republic
Certifications & licenses
Exploratory Data Analysis For Machine Learning
Coursera, IBM
Generative AI: Introduction And Applications
Coursera, IBM
Google Cloud Big Data & Machine Learning Fundamentals
Coursera, Google Cloud
Importing & Cleaning Data With Python
Natural Language Processing & Capstone
Coursera, UC Irvine
Python For Data Science, AI & Development
Coursera, IBM
Advanced Tableau Training
Statistics
Experience
Expertise
Qualifications
Profile
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