Statistical Intelligence meets Revenue Operations Architecture.
A command center for Statistical Business Intelligence. This toolkit bridges academic statistical theory with real-world revenue operations,built by a HubSpot-certified RevOps architect studying Statistics at Obafemi Awolowo University, Nigeria.
Every module here was designed to solve a real problem, not demonstrate knowledge.
Revenue Operations aligns Sales, Marketing, and Operations into a single data-driven system. As an architect, the job is to design the statistical framework, the logic that decides what data flows where, how it is measured, and what decisions it drives.
This repo is that framework made executable.
. KPI definition and measurement architecture . Custom metric formulas for SME revenue tracking . Data normalization and cleansing pipelines
. Multi-tool data synchronization (Airtable, Notion, Google Sheets) . Automated reporting triggers . Cross-platform data integrity checks
. Multi-currency normalization (NGN, USD, EUR, GBP) . Market-adjusted revenue reporting . Exchange rate injection pipeline
. HubSpot Revenue Operations Certified — May 2026 (Valid: June 2027) Code: 41905e76785a430799f42d6324e72299 . HubSpot Reporting Certified May 2026 (Valid: June 2027) Code: f04c48dd3f964fe2865a630d198e0544
| Layer | Tools |
|---|---|
| Language | Python 3.9+ |
| CRM | HubSpot (Certified) |
| Data Ops | Airtable, Notion, Google Sheets |
| Pipelines | pandas, numpy, requests |
| Automation | Google Apps Script, GitHub Actions |
Irem Victor Chinonso — Statistical Business Architect, Ife, Nigeria. Building data-driven systems at the intersection of statistics, operations, and AI.
. Email: princeville45@gmail.com . GitHub: github.com/princeville45
Architecture first. Execution follows.