Supply Chain Analytics Portfolio

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📊 Supply Chain Analytics Portfolio

Real projects built from real operations — every one of these started as a problem on a floor, not a textbook prompt. Built to show what supply chain analytics actually looks like in practice.

📦 EDA 🚚 Sales Forecasting 📊 Inventory Optimization 🗄️ Demand Planning & Forecasting 📁 Replenishment Planning 📝 Excel 🛢 SQL </> Python 📊 PowerBI 🤖 Machine Learning ֎ GenerativeAI

What This Portfolio Is

Most analytics portfolios are built by people who have never touched a pallet, worked a WMS, or made a same-day inventory decision under pressure. This one is different.

Every project here is grounded in a problem that warehouse workers, coordinators, and operations staff deal with daily — stockouts, receiving backlogs, forecast misses, slow-moving SKUs, carrier delays. The goal is not just to show technical skill. It is to show that your floor experience is the foundation of great supply chain analytics — and that anyone in operations can learn to build this.

Each project in this portfolio maps directly to a stage in the Floor to Forecast roadmap ↗. If you are following the roadmap, these are the deliverables.

What You Will Learn From These Projects

📦

Explanatory Data Analysis

🚚

Sales Performance Analysis

🔮

Inventory Optimization

🔮

Demand Forecasting

Predicting what the floor will need next

🔮

Replenishment Planning

📊

KPI Dashboards

Real

Projects covering the full supply chain lifecycle

0

Staged datasets. Every problem came from the floor first.

Open

All projects public on GitHub — fork, follow, build along

📁 Projects

🤝

These projects are for you — not just about supply chain

If you are a warehouse associate, retail receiver, logistics coordinator, or operations supervisor trying to break into analytics — every project here is documented so you can follow along and build it yourself. No CS degree required. No prior analytics experience required. Just the operational knowledge you already have.