Data Analyst focused on business intelligence, dashboarding, and the kind of analysis that survives being questioned in a leadership meeting.

Four years in, I've learned the hardest part of analytics isn't the SQL — it's asking the right question before you touch the data. I spend real time with stakeholders up front, so the dashboard I ship answers what they actually needed, not just what they asked for.
I've worked across retail and fintech, building everything from executive-level KPI dashboards to the pipeline work that feeds them. Comfortable owning a problem from raw data to the slide that goes in front of leadership.
Outside client work, I write about practical SQL patterns and mentor early-career analysts trying to break into the field.
Own the demand-forecasting dashboard suite used by category managers across 60 stores. Rebuilt the inventory model, reducing overstock cost by 14%.
Built fraud-pattern dashboards used by the risk team, contributing to a 22% drop in false-positive transaction blocks.
Supported client reporting across 8 accounts, moving three of them from manual Excel reporting to automated Power BI dashboards.
Replaced a static Excel forecast with a rolling demand model, cutting overstock costs across 60 retail locations.
Built a real-time risk dashboard that surfaced transaction anomalies before they reached the review queue.
Consolidated seven disconnected spreadsheets into a single leadership dashboard refreshed automatically each morning.
Migrated three consulting accounts from manual monthly reports to automated, client-facing Power BI dashboards.