Data Analyst & BI Consultant
I turn messy, disconnected data into dashboards, automated workflows, and decisions people can act on. My work focuses on data quality, governance, and building analytics that hold up when someone actually questions the numbers.
Every one of these documents the business problem first, the data quality issues found along the way, and what the analysis actually showed, including where the first hypothesis turned out wrong.
Four Excel/Power Query ETL case studies covering CRM, HR, inventory, and sales, each built on the same data-quality engine and star-schema model.
194K-row omnichannel retail dataset. Caught and corrected a metric definition error before it reached a KPI.
Migrated 7 fragmented CRM exports into a governed Company/Contact/Deal model, with the data gaps documented honestly instead of smoothed over.
Python/SQL/Power BI pipeline on a 10-stock watchlist. Walk-forward ARIMA reported honestly as a tie against baseline, not oversold as a trading signal.
NOAA station warehouse spanning up to 255 years of daily records. XGBoost next-day forecast beat both a persistence and a climatology baseline.
PostgreSQL revenue warehouse plus a HubSpot CRM layer, RFM/CAC/LTV segmentation, and deal-routing automation.
A wider set of SQL and Power BI case studies across banking, energy, and logistics. Browse the full profile for the rest.