AI and Data Science Consulting
for 7 and 8-Figure Businesses

We use AI, machine learning, and data science to help you …

… get more customers
… increase sales
… get the insights you need to grow your business

What We Do

Data Strategy

Most companies struggle to use their data effectively, because they don’t know what to do.

We’ll work with you to understand your business goals, identify what data capabilities can help you meet those goals, and then develop a data strategy for your business to bridge the gap.

Prototyping and Staff Augmentation

Once you know what data capabilities you need, we can help you fill in any gaps in your business buy helping you build data deliverables and systems.

This includes helping you with reporting, analytics, dashboarding, building machine learning systems, and more.

Training

Although we can directly help you build data deliverables and systems, ideally, you should try to build teams of people inside your business that can do data science work.

We can help you train your employees in all of the essentials of data science, including data wrangling, visualization, analytics, machine learning, and more.

An image of Amazon stock price, visualized as a line chart.
An image of the counties in the United States, colored according to unemployment rate.

– Sharon P. (Sharp Sight Student)

Recent Blog Posts

False Positive, Explained

False Positive, Explained

Have you ever had someone talk about a classification system or medical diagnostics and mention a “False Positive?” It’s ok … False positives can be confusing if you haven’t worked with classifiers and detection systems before. But...

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The 19 Pandas Methods you Need to Master

The 19 Pandas Methods you Need to Master

Readers at the Sharp Sight blog will know that I put a lot of emphasis on data manipulation. You’ve heard me repeat the stat many times: 80% of your work as a data scientist will be data manipulation. Although there is a little nuance to that statement, roughly...

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True Negative, Explained

True Negative, Explained

If you want to master building classification systems for machine learning, you need to understand how to evaluate classifiers. And in turn, that means you need to understand classification metrics. In classification there are a wide variety of metrics, like...

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