Retention Radar Web Application
Sparked.com
Background
Another successful project by Sparked, Retention Radar makes use of machine learning, natural language processing and advanced data analysis to help subscription based services reduce their churn rate.
Role
I Kept the styleguide and visual consistency of the web application, creating new components and building new features and charts following Test Driven Development. I configured several build scripts for automation of graphic tasks, optimized the app and coded some marketing brochures.
Results
An amazing web application that exposes data both in great quantities and through different points of view. In this project we leverage D3.js to build a set of clean, easy read and engaging dashboards. Suitable for embrace the needs of different type of clients, Retention Radar is a product that involves user experience, data analysis and gorgeous charts.
Testimonial
I have worked with a number of front-end engineers over the years and Marcos is top class. He's smart, quick, and delivers on time. To boot, he's also a great guy who works well on a team. Critically, if there's something about a wireframe or requirement that is unclear, he'll first spend some time trying to figure it out, but if it doesn't resolve, he'll come back to ask for clarification. This time-saving balance is hard to achieve and Marcos does it very well.