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find the signal in the noise

Data Science  |  Predictive Modeling  |  Machine Learning


What we do: 

 machine learning and predictive modeling

We develop and deploy ML algorithms to perform complex or repetitive tasks: identifying images, classifying objects, customer segmentation, and forecasting.    We have expertise in Python, R, SPSS, and SAS. 

Analytics and data visualization

We have expertise in the latest data analytics and visualization tools: PowerBI, Tableau, Python, etc.  We can provide online and offline solutions, catering to the needs of your business. 

Data Strategy

We help clients defining the right KPIs, and how to measure them.  We collaborate on building an analytics strategy and plan that supports the business and delivers a return on investment. 

Make the complex... easy.

Machine Learning.  Data Science.  Predictive Modeling.  Applied Statistics.

There's a lot of data out there.  Knowing where to start can make all the difference to your bottom line.  We're not just analysts; we're strategists - helping clients craft the right analytical solution for their business.  We value pragmatic, cost-effective solutions, not just fancy terminology or the latest algorithms.  We have 20 years of experience in applied statistical analysis and know what it means to deliver insight that moves the bottom line.

What we're good at...

Solving complex data challenges.  We use the latest in machine learning software and technologies, including: 

  • Python 

  • Tableau

  • PowerBI

  • SPSS 

  • Azure

  • AWS 

Challenges we've solved

Dish Antenna

Time Series and Forecasting

We developed a forecasting algorithm to help a global telecommunications client estimate the impact of marketing campaigns on quarterly revenue.  The model was 98% accurate and was deployed to optimize the timing and content of media campaigns.


Python-based Scorecard

We helped a client migrate from an Excel-based template to a fully interactive web-based analytics tool built completely in Python and deployed on AWS Elastic Beanstalk.  Their customers we're delighted to have on-demand access to actionable intelligence and insight.  

Modern Laptop

Natural Language Processing

We built a machine-learning algorithm to identify similar products between different data warehouses, and correctly classify them.  We achieved an accuracy rate of 96% by combining natural language processing methods with a Random Forest Classifier.


Different in all the good ways

  1. We're lean, efficient, and focused on quality.

  2. We give honest answers and provide honest analysis. 

  3. Modesty - Some things we know, some things we don't.

  4. We customize every solution to your specific needs and goals.

  5. No sub-contracting - what you see is what you get.



Ryan Clukey is the founder and managing director of User Metrics, LLC.  He has 20 years of experience in applied statistical analysis across a variety of industries.  he currently lives in San Diego with his family. 



Our Clients



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