🌍 Decoding Urban Mobility: A Deep Dive into Greater Cairo’s Traffic Dynamics Content: Data is only as valuable as the decisions it enables. I’ve recently completed a comprehensive Traffic Congestion Analysis project, focusing on the intricate patterns of one of the world's most crowded cities: Greater Cairo. This project involved building an end-to-end analytical pipeline to transform raw geospatial and environmental data into a strategic decision-making dashboard. Key Technical Deep-Dive: 🔹 Geospatial Hotspots: Developed heat maps to visualize traffic density, allowing for instant identification of bottlenecks across major road networks. 🔹 Environmental Impact Analysis: Investigated the non-linear relationship between weather variables (Temperature & Rainfall) and average vehicle speed, uncovering how external factors dictate road safety. 🔹 Infrastructure & Capacity: Integrated parking availability metrics with heavy-vehicle flow data to assess the real-world capacity of urban hubs. 🔹 Temporal Trends: Built time-series models to track hourly rush periods, helping to predict when and where congestion is most likely to occur. The Goal: To bridge the gap between complex datasets and urban planning, providing a clear visual narrative that helps in optimizing road flow and enhancing driver safety. I’m excited to keep pushing the boundaries of what’s possible with Power BI and Data Science to solve real-world infrastructure challenges. Check out the full walkthrough in the video below! 👇 #DataAnalytics #PowerBI #TrafficEngineering #SmartCities #DataScience #VisualAnalytics #Cairo #UrbanPlanning #BusinessIntelligence #Excel