If you have structured or time series data and need to see what machine learning can do for it, this sprint is for you. In just one week, you go from raw data to a working machine learning model.
This is not a long-term engagement. It’s a focused, high-intensity week to test an idea, validate a dataset, or get a second opinion.
Table of Contents
One-Week Process
Day 1: Kick-off and Data Discussion
We meet to define your core business question and review your dataset. Your dataset can be:
- Tabular (classification or regression)
- Time series
- Up to 1M rows and 20 attributes
Days 2–6: Multi-Model Analysis
I run your dataset through a suite of powerful models:
- Decision Trees
- Gradient Boosting
- Neural Networks
- And more
Day 7: Results
You get a clear presentation with the findings and a Python notebook you can keep working with.
Who It’s For
This sprint works best for companies with 50 or more employees.
Tier 1:
- Directors or VPs of Analytics, Data Science, or Business Intelligence
Tier 2:
- Directors or VPs of Engineering, Marketing Analytics, or Product Analytics
There are two main use cases:
- Proof of concept: Create the first machine learning model on your dataset
- Second opinion: Validate or double check an existing model already in production
What’s Not Included
To keep the focus tight and deliver results in a week, the sprint does not include:
- Work with unstructured data (text, images, or video)
- Reinforcement learning
- Long-term implementation or integration
Key Questions
Before we start, here are the questions that qualify the fit:
- Are you working with structured/tabular datasets or time series data?
- Are you looking for a proof of concept (not a production-quality model)?
- Can you prepare a dataset that I can work with?
- Are you open to me exploring your dataset and presenting results in a week?
Conclusion
The Machine Learning Sprint is the fastest way to turn structured data into insights. In one week, you get a clear answer to your business question, backed by models and a Python notebook you can continue to use.
If you need to validate an idea or double check existing work, this sprint gives you results fast.
Interested in running a one-week machine learning proof of concept? Get in touch with me today.
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