Lift revenue 30 % in four months while maintaining triple-accreditation compliance.
1. Built an ML pricing engine (Python, scikit-learn) forecasting fund fees vs. liquidity.
2. Tableau + Airflow pipeline for auto-refreshed KPI board.
3. Negotiated new banking lines—liquidity +40 %, rate -120 bps.
1. Stakeholder Alignment | Mural-based workshop to prioritize impact metrics.
2. Data Warehouse Spin-Up | Snowflake schemas, dbt models, dbt tests.
3. Pricing Model | Gradient-boost grid-search, 93 % prediction R².
4. Board Buy-In | Scenario storytelling with DCF overlays.
5. Iterate | Weekly sprint reviews, agile backlog, OKR scorecards.
Non-profits shouldn’t run on hope—they should run on models as sharp as Wall-Street desks.
