About us

Our background and experience revolves heavily around data engineering, solutions integrations, data modeling, analytics, machine learning and data science. We have done everything from lead executive level meetings to discuss how to integrate machine learning and data science teams successfully to develop robust data science suites in python and R that help automate a good portion of the data science process.

Paired with our understanding of data modeling, we have been able to successfully impact the companies we have been involved with. This is everything from the companies we work for and consultant with. Many times, we have people from prior jobs reach out as they gain new positions or jump on new projects to have us design or lead new projects.

Data Scientist at IntelyCare

Benjamin T

As Director of Data Science at IntelyCare, I lead a brilliant team of data scientists and analysts in our mission to generate as much value as possible from IntelyCare's data. We are resident experts at statistical and predictive modeling, but are also full-stack engineers when it comes to scaling and deploying our models (i.e. we build models **and** write unit tests).

Examples of our projects include a state-of-the-art pricing algorithm (AI based, learns in real time), a powerful recommendation engine (used for both in-app recommendations and targeted messaging), and various forecasting algorithms to manage things like on-call pools, engagement campaigns, and last-minute requests.

Interested in working with us? Please send me a message! We have collaborations with university classrooms, academic research projects, and are always interested in adding the right people to our team.