Hassan Salama

The Analyst Platform – Soccer Analysis

🔹 Tech Stack: API Integration, Python, Pandas, SQL, Web Development 🔹 Functionality:Extracting and cleaning soccer event data, analyzing case studies, designing databases, and developing a web platform 🔹 Impact:Data-driven insights for soccer analytics, automated PDF reports, and interactive data visualizations

Real Estate Data Analytics Projects

🔹 Tech Stack: Web Scraping, Python, Machine Learning, Power BI, SAP Analytics Cloud, AWS QuickSight🔹 Functionality:Collecting, cleaning, and analyzing housing data, building predictive pricing models, and creating interactive dashboards 🔹 Impact:Improved real estate price predictions, automated insights, and enhanced business intelligence

MPED | HANA Data Warehouse & Dashboards

🔹 Tech Stack: SAP HANA (SDI, ETL), SQL, Microsoft Power BI 🔹 Functionality:Integrating multi-source data, creating calculation views, and developing business intelligence dashboards for national projects 🔹 Impact:Centralized data architecture, streamlined reporting, and UAT scenarios for effective decision-making

Mobica| Analyze image chatbots:

🔹 Tech Stack: AWS Rekognition, S3, Streamlit, FastAPI, Python 🔹 Functionality:Image upload, analysis, and retrieval of similar images 🔹 Impact:Automated image recognition, improved search accuracy, and real-time processing

TEO :

🔹 Tech Stack: OpenAI GPT, DALL-E, FastAPI, React Native, AWS S3, Streamlit🔹 Functionality:AI chatbot for text processing, image generation, and retrieval 🔹 Impact:Real-time interactions, multi-modal AI, and scalable cloud deployment

ADHolding| AI-Powered Real Estate Analytics

🔹 Tech Stack: SAP Analytics Cloud (SAC), AWS QuickSight, Amazon Q, Python, Machine Learning 🔹 Functionality:AI-driven real estate pricing predictions, scenario analysis in SAC, and interactive Q&A insights using Amazon Q and AWS QuickSight🔹 Impact:Enhanced decision-making with AI-powered forecasts, automated property valuation, and real-time analytics through conversational AI