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.
– Sharon P. (Sharp Sight Student)
Recent Blog Posts
Your Best Path to a Data Science Job
Data science is now, and will continue to be a hot job. Right now, the average data science salary is somewhere around $150,000. Although many people are claiming that AI will destroy data science jobs, I’m fairly confident that AI will only increase the need...
The Best Way to Plot an ROC Curve in Python
This tutorial will show you how to plot an ROC curve in Python using the Seaborn Objects visualization package. The tutorial is divided into sections for easy navigation, so if you need anything specific, just click on the appropriate link below. Table of Contents:...
True Positive, Explained
When you begin immersing yourself in the world of classification systems, you’ll encounter a large number of different classification metrics: precision; recall; accuracy; sensitivity and specificity; F1-score; and many more. But as you begin digging into these...
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