Real Projects from Real Students

What happens when you give aspiring analysts actual business challenges to solve?

You get forecasting models that weren't built from textbook examples. These projects came from students who spent months wrestling with messy data, fixing broken assumptions, and learning that Excel's auto-fill doesn't always know what you want it to do.

We don't curate this showcase to feature only the polished work. Some of these models started with completely wrong approaches — that's part of learning. What matters is they kept refining until the numbers actually made sense.

February 2025 Cohort Highlights

Retail Inventory Forecasting

Completed by Tamsin Veldkamp — March 2025

Built a three-month inventory forecast for a Brisbane clothing retailer using two years of sales data. The tricky part? Accounting for seasonal shifts without just copying last year's patterns. Tamsin's model flagged potential stockouts six weeks ahead, which gave the business actual time to adjust orders.

Service Business Cash Flow Model

Completed by Henrik Bjørnstad — February 2025

Created a rolling 90-day cash flow projection for a landscaping company. Henrik had to factor in weather delays, payment terms that varied by client, and equipment costs that weren't consistent. His model helped the owner see two months ahead where cash would get tight.

Student working on financial forecasting spreadsheet with multiple data visualization charts displayed on screen

Current Students Working On Projects

E-commerce Revenue Projection

Liora Kaufmann

Building a 12-month revenue forecast for an online homewares store. Working through challenges with marketing spend correlation and seasonal purchasing patterns that don't follow standard retail cycles.

Excel Modeling Trend Analysis

Manufacturing Cost Forecast

Callum MacLeish

Creating a quarterly cost forecast for a small manufacturing operation. Currently wrestling with raw material price volatility and how to present uncertainty ranges that actually help decision-making.

Cost Analysis Scenario Planning

Subscription Business Metrics

Ingrid Sørensen

Developing a churn prediction model for a software subscription service. The interesting part is identifying which customer behaviors actually indicate they're about to cancel versus just normal usage fluctuation.

Customer Analytics Retention Modeling

Applications for our September 2025 intake open in July. Projects like these don't happen in the first week — students typically spend 8-12 weeks building the skills before tackling real business scenarios.

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