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Here are some great examples of data-handling tables.
Strong visual hierarchy.
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Startups don’t need more data , they need clear decisions.
Most teams collect sales, marketing, and customer data but struggle to answer:
• Why are conversions dropping?
• Which customers drive real revenue?
• Where are we losing money?
I help turn raw data into clear dashboards and actionable insights.
🔎 I can help with:
✔ KPI dashboards (Power BI / Excel)
✔ SQL analysis & reporting
✔ Customer & revenue analysis
✔ Funnel & retention insights
✔ Basic predictive models
I focus on practical insights — not just charts.
📩 Open to short-term and ongoing analytics projects.
— Rabi Ali
Data Analyst | SQL | Python | Power BI
Designed and built a production-ready booking and workforce management platform for multi-location service teams.
Key capabilities:
• Time zone-aware scheduling engine
• Role-based staff assignment and access control
• Conflict prevention and overlap validation
• Booking lifecycle management including cancellation, rescheduling, and status tracking
• Stripe payment integration
• Payroll-ready reporting structure
• Department-level dashboards
• Multi-tenant database architecture
Built using React and Python Flask with Postgres, designed for scalability and operational clarity.
Handled complex edge cases including time zone logic, booking conflicts, staff availability constraints, and revenue tracking workflows.
I designed a multi-channel payment handling layer integrated with booking state management, supporting online, offline, and invoice-based transactions with Stripe-backed tax calculation and payment state validation.
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