An experienced data slinger, he uses his psychology training to influence user behaviors. You can often find him playing his guitar on a boat.
A pianist and biochemist by trade, Sam mines the data for gems, and sets you up for success. You can find him reading in the Boston Public Library.
A cafe enthusiast and bubble tea aficionado, Helen wrangles data into machine learning models that work for you.
Kelly connects the dots in the backend, so you don't have to.
Ballet and SQL. What could be better?
Computing cloud technology provided an opportunity to analyze vast amounts of data without the complexity of in-house computers and data centers. So we started to move data science into the cloud in 2009. Games became more connected and eventually a "live" service too. Eventually we created a web of cloud based services to optimize the game performance.
Blending machine learning, analytics and hands-on live ops and CRM services into one offering
Using ChurnSoon campaigns, IMVU drives higher retention and 23% higher ARPU.
Deep learning extract mobile ad creative features improves prediction lifts by 10%
Developed RevenueSoon - player level revenue predictions to optimize user acquisition
ChurnSoon scores sent to customer service to reduce churn
Daybreak games drives 10% more paid memberships with targeted ConvertSoon campaign.
Presented predictive analytics case studies at Casual Connect
Created ConvertSoon, ChurnSoon and PurchaseMoreSoon for games
Developed a scalable graph based predictive platform on AWS