Email Triage Automation
End-to-end flow for a team distribution list: filters incoming mail, classifies intent with AI Builder, and auto-creates prioritized Planner tasks with full context.
Power Automate · AI Builder · Planner
Data analyst on a business analytics team — SQL, Power BI, Python, Microsoft Fabric, DuckDB, dbt — turning messy ERP data into things leadership actually reads.
I'm a data analyst based in New York, working across eCommerce, wholesale and retail channels. I build the BI dashboards leadership checks every morning, run deep-dives on pricing, inventory and revenue, and keep the numbers trustworthy — validating data, chasing down discrepancies between Microsoft Fabric and the ERP, and automating the repetitive parts with SQL, Python and Power Automate.
I sit between business and engineering: translating vague questions into requirements, modernizing legacy pipelines into a lakehouse architecture, and turning technical findings into narratives executives can act on. My default mode is end-to-end — from the first stakeholder conversation to the model, the pipeline, and the number on the slide.
End-to-end flow for a team distribution list: filters incoming mail, classifies intent with AI Builder, and auto-creates prioritized Planner tasks with full context.
Power Automate · AI Builder · Planner
Segment-level turn metrics across product lines and warehouses, delivered to GMs and senior leadership — with the data caveats spelled out, not buried.
SQL · Power BI · Excel
Cleaning and standardizing ERP data in Microsoft Fabric — the unglamorous layer that decides whether everything downstream can be trusted.
Microsoft Fabric · Python · SQL
A dual-fact dimensional model comparing actuals against benchmarks in one semantic layer — designed so the DAX stays simple and the answers stay fast.
Dimensional modeling · DAX