I transform raw data into actionable insights using Power BI, SQL, and Python. Leveraging AI tools to enhance analysis speed and accuracy, I help businesses make smarter decisions through compelling visualizations and deep statistical understanding.
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elsayedhawaa@gmail.comComprehensive analysis of $435.76M loan portfolio across 38,576 loans. Tracking risk by sub-grade, geographic distribution, and payment status.
| Loan ID | Grade | Amount | Interest | Purpose | Status | Risk |
|---|---|---|---|---|---|---|
| #LN-28492 | G5 | $35,000 | 28.4% | Debt Consolidation | Charged Off | Critical |
| #LN-28491 | F4 | $28,500 | 22.1% | Small Business | Current | High |
| #LN-28490 | G3 | $18,000 | 26.5% | Credit Card | Charged Off | Critical |
| #LN-28489 | A1 | $12,000 | 7.2% | Home Improvement | Fully Paid | Low |
| #LN-28488 | E2 | $24,000 | 16.8% | Medical | Current | Medium |
India's last-minute delivery analytics: $1.20M sales across 8,523 items. Outlet performance by type and tier analysis.
| Outlet Type | Revenue | Share | Items | Rating |
|---|---|---|---|---|
| Supermarket Type 1 | $787.55K | 65.6% | 5,577 | 3.92 |
| Grocery Store | $151.94K | 12.6% | 1,083 | 3.93 |
| Supermarket Type 2 | $131.48K | 10.9% | 928 | 3.93 |
| Supermarket Type 3 | $130.71K | 10.9% | 935 | 3.91 |
Transportation network analysis: 1.2M rides, $4.8M revenue, cancellation patterns by zone and vehicle type.
Hospitality operations: 85.2% occupancy, $156.3M annual revenue, seasonal pricing analysis, and guest satisfaction metrics.
| Season | Occupancy | ADR | RevPAR | Status |
|---|---|---|---|---|
| Peak (Summer/Holidays) | 92.0% | $285 | $262 | Excellent |
| High (Spring/Fall) | 87.5% | $245 | $214 | Strong |
| Standard (Winter) | 80.0% | $195 | $156 | Good |
| Category | % of Revenue | Amount | Target |
|---|---|---|---|
| Labor | 35% | $54.7M | Optimal |
| Housekeeping | 8% | $12.5M | Good |
| F&B Costs | 6% | $9.4M | Watch |
| Utilities | 6% | $9.4M | Good |
Epidemiological analysis: 776M cases across 6 continents. Mortality patterns, vaccination progress (70.59%), and regional impact assessment.
Restaurant analytics: 213,450 orders, $817.9K revenue. Peak hour analysis, category performance, and customer preference tracking.