Dee Chingabe
Data Analyst & BI Specialist | Power BI Dashboards | Excel |
New to Contra
Dee is ready for their next project!
📊 Turning Raw Retail Data Into Business Insights
I recently worked on a retail sales dataset to demonstrate how raw business data can be transformed into useful insights.
My process included:
✅ Data cleaning and validation
✅ Revenue calculations
✅ Sales performance analysis
✅ Product and store analysis
✅ Excel/Power BI visualization
✅ Identifying actionable business insights
The analysis answers questions such as:
• Which store generates the most revenue?
• Which products drive sales?
• Which products sell the most units?
• Which salesperson performs best?
• How do sales change over time?
Tools: Excel | Power BI | Python/Pandas | SQL
Clean data is the foundation. Good analysis turns that data into decisions.
#DataAnalysis #DataCleaning #Excel #PowerBI #Python #SQL #DataAnalytics #Freelance
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Data tells a powerful story.
Smoking-related healthcare expenditure reached 2.41M, with hospital services and major medical costs accounting for over 75% of the total burden.
The trend analysis shows consistent annual growth — a signal that reactive healthcare spending is increasing while preventive efforts may not be sufficient.
Analytics can transform public health decisions.
When we quantify the economic cost of lifestyle risk factors, we shift conversations from awareness to accountability.
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Fleet Cost Management – Turning Data into Actionable Insights
Managing fleet operations isn’t just about keeping vehicles on the road — it’s about understanding where every cost goes and optimizing for efficiency.
Here’s a snapshot of a recent Fleet Cost Management Analysis Dashboard I worked on:
🔹 Total Cost: 39.99K
🔹 Fuel Cost: 12.6K
🔹 Maintenance Cost: 16K
🔹 Other Costs: 11K
🔹 Cost per KM: 0.51
🔹 Utilization Rate: 87%
🔹 Total Downtime: 452
💡 Key Insights:
✔️ Maintenance is the largest cost driver (40%+), highlighting the need for preventive strategies
✔️ Fuel trends show a sharp drop in March — worth investigating (efficiency gains or reduced usage?)
✔️ Certain vehicles consistently incur higher maintenance costs, indicating potential replacement or servicing priorities
✔️ Strong utilization (87%) — but downtime still presents an opportunity for optimization
What this means:
With the right data, fleet managers can:
Reduce operational costs
Improve vehicle performance
Make smarter replacement decisions
Increase overall efficiency Data isn’t just numbers — it’s a roadmap to smarter operations.
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Excited to Share My Latest Power BI Project! 🎾📊
I recently designed and developed a Tennis Competition Analytics Dashboard in Power BI, focused on transforming raw match data into meaningful insights for tournament analysis and decision-making.
🔍 Key Highlights of the Dashboard:
✅ Total Matches Analyzed: 95K+
✅ Upset Rate Tracking & Number of Upsets
✅ Seeded Player Performance Analysis
✅ Highest Seed Defeated Metrics
✅ Average Match Completion Insights
✅ Tournament & Player Performance Trends Over Time
📈 Visualizations Included:
🎯 Interactive KPI Cards
📉 Tournament Trend Analysis by Year
📊 Upset Match Comparisons by Tournament
🥧 Seeded vs Non-Seeded Match Results
🏆 Player Upset Performance Ranking
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