Predictive Analytics Innovation Summit
February - , 2019, San Diego
Seyed is an AI-passionate data scientist working on design, development and deployment of various machine learning pipelines at EA. As an academic researcher, he has been working on machine learning applications in Robotics, Computer Vision, Human-Machine Teaming and Educational Data Mining leading to peer-reviewed publications in international conferences and journals. At EA analytics group, Seyed has implemented new approaches of analyzing and predicting player behaviors resulting in high performance models and pipelines in churn prediction, cluster analysis and recommendation systems, to name a few. His unique methodologies of parsing predictive behavioral models along with the deployment of machine-learning oriented Business Intelligence tools in the project management team has helped EA studio make more data-informed decisions.