Moost - Customer RFM Segmentation Platform Development

Sorts customers into actionable RFM groups so marketing knows who to keep or win back.

The problem: A company had customer data but no system to turn it into action; No way to see who its best customers are, who's slipping away, and who to win back.

What I did: Developer of the multi-service platform, and I authored the technical documentation and product roadmap that directed feature work.

RFM segmentation with K-Means priority scoring

A "polyglot" architecture: Angular 17 frontend, .NET 8 API, and a Python/Flask data service over Kafka with PostgreSQL

JWT authentication/authorization, invoice and data-processing pipelines, database migrations

Authored the architecture docs, flow diagrams, and a 14-ticket product roadmap that directed feature MVPs

Outcome: A working segmentation platform plus the documentation and roadmap that let another developer build on it; proof of both build and technical leadership.

Tech & role: Angular 17 - .NET 8 - C# - Python - Flask - Kafka - PostgreSQL - scikit-learn (K-Means) - JWT - roadmap/mentoring