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TEAM & ACKNOWLEDGMENTS

This project was developed as part of the UC Berkeley School of Information MIDS program.

Our Mission

Build an automated, scalable data platform that provides daily price forecast, risk distributions and actionable recommendations to help coffee producers sell smarter and reduce uncertainty.

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Connor Watson

Google Cloud Demand Forecasting

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Tony Gibbons

Finance MBA, Former Google Finance & Analytics Leader

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Francisco Muñoz

Commodities & Mass Consumption Analytics

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Stuart Holland

Sr. Solutions Architect with 15 Years of Experience

Acknowledgments

We are deeply grateful to:

  • The coffee-growing community of Caramanta

  • Industry experts who shared their insights

  • Our mentors and instructors at UC Berkeley

  • AWS, Databricks and Mlflow for the tools and platforms
     

Open data providers and generative AI tools that supported our research and analysis

Thanks for
exploring our project

Every model, dataset and decision in this project was shaped by a team committed to supporting the livelihoods of coffee-growing families. Meet the people who brought this mission to life.

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