Muhammad Saad
Data Analyst | Power BI, SQL, Python | From data to decision
New to Contra
Muhammad is ready for their next project!
Spotify Analysis Dashboard
Turned raw Spotify streaming data into a clear, interactive dashboard that reveals how listeners actually engage with music.
Built in Power BI using SQL and DAX, this project explores user behavior across devices, identifies skip patterns, and highlights top-performing artists and tracks.
With dynamic visuals powered by key metrics like reason_start, reason_end, platform, and ms_played, the dashboard uncovers:
• Why users skip songs or stop playback
• Which platforms drive the most engagement
• Which artists and albums perform best by time and device
Perfect for music analysts, record labels, or streaming teams who want actionable insights into listener habits and engagement trends.
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Built an interactive Power BI dashboard to analyze emergency room performance tracking patient flow, wait times, satisfaction scores, and department referrals in real time.
The dashboard helps hospital teams identify bottlenecks, manage resources efficiently, and improve overall patient experience through clear, data-driven insights.
This project highlights how healthcare data can be transformed into actionable intelligence that supports faster decisions and better care outcomes.
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Turned Uber’s trip data into an interactive Power BI dashboard that uncovers real time booking trends, revenue performance, and demand patterns across cities.
By combining SQL, DAX, and dynamic visuals, the dashboard helps identify peak hours, optimize pricing, and improve operational efficiency.
This project showcases how clear data storytelling can transform raw trip data into actionable insights helping teams make faster, smarter business decisions
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Transformed complex real estate data into an interactive Power BI dashboard that gives agencies full visibility from live sales and leads to agent performance, all in one view.
Built using SQL and DAX, it tracks top performing regions, client pipelines, and conversion trends in real time.
Designed to help real estate teams make faster, smarter decisions from their data without getting lost in spreadsheets.
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