Most companies have thousands of transaction rows sitting in their databases, yet executives still fly blind when it comes to answering critical questions about customer churn, profit leaks, and operational bottlenecks.
I am a Business Intelligence Specialist and Data Analyst who bridges the gap between messy raw data and executive strategy. I don’t just build charts; I engineer automated data pipelines and interactive dashboards that allow founders to stop guessing and start making data-driven decisions instantly.
How I Drive Value:
• Diagnostic Analytics: Uncovering the “why” behind the numbers (Cohort retention, RFM segmentation, churn analysis).
• Data Engineering: Writing complex, optimized SQL queries (CTEs, Window Functions) and Python scripts (Pandas) to clean messy datasets for production.
• Enterprise Dashboards: Designing production-ready Power BI reporting systems with custom DAX time-intelligence and automated executive summaries.
Proof of Work:
Recently, I ran a diagnostic on a massive 113,000-transaction e-commerce dataset. By engineering custom logistics metrics, I uncovered a hidden 96.9% churn rate driven entirely by shipping bottlenecks—shifting the executive focus from blind customer acquisition to highly profitable retention.
Let’s stop relying on static Excel files and build a data infrastructure that scales with your business.
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