Predictive Site Planning & Investment Decision System

Solution Architect & Principal Data Scientist

The engagement

An explainable site-ranking method combining RF coverage, KPIs, CEM, population, drive-test and geospatial data.

Selected delivery

Produced grid-based demand and deficiency scoring for candidate-site ranking.

Completed a 23 × 23 km proof of concept with 44 candidates.

Extended the methodology to dense urban analysis.

Evolved the custom platform into an agent-optimized workflow with engineering-defined logic and validation.

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