Website & Revenue Optimization
Those familiar with A/B Testing for website and revenue optimization are also familiar with its
pitfalls; lengthy process and rigid beginning/ending, high traffic requirements, and slow detection of
optimal design/pricing to name a few.
Reinforcement learning (RL) algorithms require a much lower volume to detect differences, and once detected automatically implements the optimal design/pricing strategies. RL is also a continuous process so when new designs and pricing ideas come up you can test them immediately without having to wait for a previous experiment to finish.
Dockerizing the Agile DS 2.0 Environment
Too often data scientists go weeks, or even months, without showing tangible progress to operators and
decision-makers that they can interact with.
Agile Data Science 2.0 by Russell Jurney offers a methodology for Full Stack Data Analytics that embraces continuous deployment so the stakeholders can continuously provide feedback and direction. Dockerizing the environment makes it robust and allows it to be quickly deployed.
Welcome To The Site
The Most Requested Offerings
Classification, regression, forecasting, and reinforcement learning for small-large datasets.
Dashboards & Reports
Multi-page, user-specific, interactive dashboards, and custom automated reporting.
Design & Development
Architecture and coding for data-capture forms, databases, and model supported tools.
All of the results from design & development, dashboards, and modeling deployed live for you.
PROJECTS & DEMO
Here are tools built for other clients and a demo to get the imagination thinking about ways of leveraging your data to increase revenue and decrease cost.