The Story Behind
AI Business Science

The Honest Version

I spent years doing data science and machine learning for large organizations — the kind of work that requires teams, budgets, and timelines measured in quarters. Then, like a lot of people in this field, I found myself on the outside looking in. Not because the work disappeared, but because AI changed who could do it and how fast.

So instead of waiting for corporate America to catch up, I started AI Business Science. The idea is simple: use the same AI tools that disrupted traditional data science roles to deliver enterprise-grade ML work to businesses that could never afford a data science team before.

What That Looks Like in Practice

A pest control company in Phoenix shouldn't have to wonder whether they'll hit their revenue target next month. They have the data — QuickBooks exports, weather patterns, years of history. What they don't have is a data science team.

I built them a forecasting pipeline that uses XGBoost and neural networks, runs Bayesian hyperparameter search across multiple model families, and produces calibrated probabilistic intervals — not just a point estimate, but a range with a statistical guarantee. The result is a monthly interactive report they can actually act on.

That used to take a team of engineers months to build. With agentic coding tools and the codebase I've developed, it's one person delivering the same quality of output, faster, for a fraction of the cost.

The Technical Side

I work across Python and R, with production pipelines built on Nixtla's mlforecast and neuralforecast frameworks, XGBoost, LightGBM, H2O AutoML, and the R Modeltime ecosystem. Data lives in BigQuery. Experiments are tracked in MLflow. Deliverables are Quarto reports — code-generated, interactive, and fully automatable.

The reporting stack matters more than people realize. Quarto means your report isn't a static deck that goes stale. It's a program that re-runs every month against fresh data and produces the same polished output — no BI platform subscription, no manual updates.

Aila Marketing

AI Business Science is also the parent company behind Aila Marketing — an AI-powered social media automation service for small businesses. Same philosophy: take something that used to require a dedicated team (content creation, scheduling, platform management) and make it accessible and automatic for businesses running on tight margins.