Statistics & IT Student · Aspiring Data Analyst · Building in Public
I'm a Statistics & Information Technology student based in Nairobi, Kenya, with a deep passion for turning raw data into decisions that matter. I specialise in end-to-end analytics workflows — from relational database design and SQL querying, through Python-powered analysis and forecasting, to interactive dashboards in Power BI.
I build portfolio projects that mirror real-world business intelligence challenges in logistics, operations, and procurement — because I believe the best way to learn is to ship.
profile = {
"name" : "Grege Waren",
"role" : "Aspiring Data Analyst",
"focus" : ["Data Analytics", "Business Intelligence", "Systems"],
"learning" : ["Machine Learning", "Advanced SQL", "Cloud Data Platforms"],
"open_to" : ["Internships", "Collaborations", "Analytics Consulting"],
"location" : "Nairobi, Kenya 🇰🇪",
}End-to-end supply chain analytics system built with MySQL · Python · Power BI
A full-stack data analytics pipeline simulating real-world BI workflows in logistics, procurement, and operations.
| Layer | Details |
|---|---|
| Database | 5 relational tables · 9,450 rows · 18 advanced SQL queries |
| Python Engine | EDA · Linear Regression forecasting · 7-panel chart dashboard |
| Power BI | 5 interactive pages · Executive KPIs · Supplier Scorecard · Inventory Health |
| Collab Tool | Node.js + Express browser UI with real-time SSE progress streaming |
Key insights surfaced:
- 💰 $68.6M in total revenue analyzed across 24 months
- 🔁 25% cancellation rate flagged for investigation
- 📦 20 products identified for immediate reorder ($194K reorder cost)
- 📈 Revenue forecast: ~$2.2M/month for Q2 2026
Python MySQL Power BI scikit-learn Node.js pandas
- 📚 Deepening skills in Machine Learning and Advanced Analytics
- 🏗️ Expanding the Supply Chain Intelligence Platform with ML features
- 🌍 Exploring cloud data platforms (BigQuery, Azure)
- 🔍 Open to Data Analytics Internships — based in Nairobi, Kenya
I'm always open to collaborating on analytics projects, discussing data, or connecting with professionals in Data, BI & Analytics.
⚡ "Data is not just numbers — it's the story of what happened and the map of what's next."

