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akeDataAnalyst/yirgacheffe-procurement-analytics

Domain:

agriculture

Record type:

project
Creator:
ake
Host:
End-to-end data pipeline, predictive model, and interactive Streamlit dashboard for specialty coffee procurement in Ethiopia. # **Yirgacheffe Specialty Coffee Procurement Intelligence Engine** ## **Project Description** An end-to-end data analytics, machine learning, and interactive deployment project designed to optimize green coffee bean procurement strategies across high-altitude regions in southern Ethiopia (including Gedeo, Guji, and Sidama Zones). This system bridges raw farm-gate characteristics-such as altitude and processing methods-with cupping quality outcomes to guide data-driven purchasing decisions. ## **Problem Statement** Coffee procurement managers often face high volatility in lot quality, inconsistent post-harvest processing outcomes, and a lack of quantitative clarity regarding which micro-climate parameters reliably drive high-cup scores (benchmark: $\ge 84$). Without predictive tools, sourcing decisions rely heavily on historical intuition rather than empirical lot profiling, exposing buyers to margin risks and quality slippage. ## **Solution** A comprehensive, 5-stage data engineering and machine learning pipeline that: 1. **Simulates & Normalizes** realistic regional agricultural telemetry and sensory evaluation metrics. 2. **Performs Rigorous Data Auditing** to handle missingness, validate schema integrity, and standardize regional taxonomies (e.g., classifying Gedeo Zone under the South Ethiopia Regional State). 3. **Conducts Exploratory Data Analysis (EDA)** to isolate top-performing regional processing clusters. 4. **Deploys a Predictive Linear Regression Model** quantifying the marginal impact of altitude and processing style on final cup quality ($R^2 = 0.41$). ## **Strategic Recommendations** * **Prioritize High-Altitude Washed Lots:** Data indicates that high-altitude Gedeo Zone Washed lots lead quality performance (Avg: 84.32), followed by Guji Honey lots (Avg: 84.28). Procurement contracts should prioritize these profiles. * **Audit Gedeo Honey Protocols:** While Gedeo Washed performs exceptionally well, Gedeo Honey lots in sample evaluations show rela …