Just wrapped up an exciting data analytics project as part of DataDNA May2025 challenge, where I deep-dived into a mobile phone sales dataset to uncover rich business insights across regions, brands and customer segments.
🔍 Key Insights Discovered:
✅ Top-selling brands and models across cities and countries
✅ Customer preferences based on age, gender, and OS (Android vs iOS)
✅ Channel-wise & payment-wise revenue contribution
✅ Regional performance and model-specific insights
✅ Month-over-month sales growth for 2024
📊 Dashboard Highlights:
🟢 Page 1 – Executive Summary: Key KPIs, top brands, sales channels, and trends
🟡 Page 2 – Sales Insights: Who buys what — broken down by age, gender, brand, and features
🔵 Page 3 – Performance: Deep dive into cities, models, and pricing impact across geographies
🔗 Tools Used: Power BI, DAX, Data Modeling, UX Best Practices
💡 Focus: Actionable insights + clean visual storytelling
