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Project Overview
This Mobile Sales Analytics Dashboard provides a detailed overview of smartphone sales performance, customer satisfaction ratings, and purchasing trends across major Indian cities and top mobile brands. Built for retail and market analytics, it translates sales and inventory metrics into visual insights to optimize regional supply chains and product positioning.
The city-level heat map paired with brand-wise sales breakdown is a great combination — really useful for spotting where Xiaomi/Vivo's regional strength diverges from national averages. Clean use of Power BI's filtering too.
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Excited to share my latest data analytics project: Traffic Congestion Analysis & Prediction. 🚗📊
This end-to-end project involved processing complex traffic data to derive actionable insights, including:
Visualizing traffic hotspots and congestion trends across Cairo.
Analyzing accident risk factors related to road types, hours, and underage drivers.
Building an interactive dashboard to support data-driven urban planning.
Tools used: Power BI, DAX, and advanced data visualization techniques.
Check out the snapshots below and let me know your thoughts! Always happy to discuss data-driven solutions. 💡
Access the full project and source code here: [https://github.com/Hazemkhaled278/Traffic-Congestion-Analysis-Prediction- ]
#DataAnalytics #PowerBI #TrafficAnalysis #DataScience #Freelance #Traffic"
The hotspot map alongside the prediction dashboard is a great combo, turns raw congestion numbers into something a city planner could actually act on. Was the traffic data public/open source, or did you have to piece it together from multiple sources?
Custom built CRM dashboard within Google Sheets that adjusts via automation to stay up-to-date based on incoming data.
Workforce Activity Overview – Mobile Dashboard Widget
This mobile activity widget was designed to help employees and managers understand yearly work patterns without opening a full dashboard. It brings together total logged hours, annual leave, sickness, training and project activity in one clear view, using strong hierarchy and restrained corporate colours to make the information easy to scan.
The simplified layout could reduce the time needed to review an employee’s activity from several minutes to under 30 seconds. Managers can identify unusual absence levels, check workload distribution and prepare performance reviews faster, while employees gain a clearer understanding of how their recorded time has been allocated.
That yearly summary view is such a smart addition, most time trackers stop at weekly reports and leave you to do the math yourself. Did the Jitter integration require much custom mapping or was it fairly plug and play?
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