07 · Data Science
Predictive Models and Experiments That Change How the Business Acts.
Forecasting, classification, experiment design, and production scoring pipelines that sit beside existing data, distinct from generative AI workflows.
Python, pandas, scikit-learn, SQL, experiment design
Methodology
How a Business Question Becomes a Model in Production
Forecasting, classification, and experiments scored beside the data the business already trusts.
- 01
Decision and Target
Define the action the model should change and the target it must predict, before features or algorithms are chosen.
- 02
Features
Assemble historical features from the warehouse, check leakage, and hold out a set that the model has not seen.
- 03
Model and Experiment
Train, compare, and test the model against a baseline so the lift is measured, not assumed.
- 04
Scoring in Production
Ship a scoring path the business can call, with monitoring for drift and a clear owner for when the model should be retrained.