
Is your organization making multi-million dollar decisions based on siloed data? A common pitfall for growth-stage enterprises is decoupling marketing mix modeling (attribution) from operational demand and budget forecasting. When these systems don't talk to each other, you end up with unstable models, slow simulation loops, and high prediction errors.
Having designed advanced ensemble forecasting systems utilizing Bayesian optimization that reduced prediction error by ~50%, alongside real-time budget allocation engines and multi-objective MMM ranking frameworks across 20k+ iterations, I help organizations architect unified, highly resilient predictive engines.
This package is a deep-dive technical and strategic engagement to map, audit, or completely re-architect your organization’s MMM and forecasting pipelines.