Sanitized Case Study

AutoML Coffee Forecasting

Business Context

Coffee trading and processing environment requiring decision support using historical commodity data and market-related indicators.

Problem

Management needed a more structured way to analyze historical coffee price data and generate forecast direction for short-term decision support.

My Role

Defined product direction, data flow, application concept, and technical prototype direction using Python/Streamlit/PostgreSQL.

Approach

• Prepare upload flow for CSV/Excel historical data
• Design database-backed data storage
• Define forecasting output direction
• Create simple management-facing interface concept

Evidence Status

Public demo only if using dummy data. Do not publish internal commodity dataset if confidential.