Data · CASE STUDY
Eagle 3D Streaming BI Hub
One operational view for KPIs, customers, revenue and anomalies.
Project overview
A production analytics platform built with Python, Streamlit and MongoDB. It brings KPI scraping, YouTube OAuth analytics, customer-success tracking and a payment ledger for new and recurring revenue into a secure ten-page dashboard. Automated data pipelines run four times a day, with 15-minute anomaly detection and 16 Telegram alert types.
What I worked on
- Unified KPI scraping, YouTube OAuth analytics, customer-success tracking and the payment ledger in a ten-page dashboard.
- Automated the data pipeline to run four times daily and detect anomalies every 15 minutes.
- Configured 16 Telegram alert types for operational notifications.