Data Analyst
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Data analyst working business problems in SQL and Excel: revenue reconciliation, inventory risk, and customer growth. Working through retail, banking, and operations scenarios on a graded simulation platform, I have built SQL queries and Excel models to answer concrete business questions across inventory, revenue, and branch data. My work spans conditional aggregation in PostgreSQL, multi-criteria SUMIFS formulas, and PivotTable-based charting.
The projects reflect a consistent focus on producing outputs that a stakeholder can act on directly: ranked summaries, reconciled revenue figures, and clearly formatted deliverables. Each submission was independently graded, and the results documented reflect best-scored attempts.
Data Analyst - DataSimHQ
Completed 32 end-to-end graded projects on a simulation platform using fictional companies, with an average best score of 91/100. Projects completed across retail, banking, and operations scenarios.
