Rebecca Little

Rebecca specializes in machine learning, causal inference, and geospatial analytics. She holds a Master’s in Analytics from the Georgia Institute of Technology, supported by a foundation in statistics and anthropology. This interdisciplinary background gives her a nuanced understanding of how quantitative methods intersect with human behavior.

From engineering behavior-based features to predict customer churn to identifying confounding behavioral variables in causal inference models, Rebecca bridges analytical frameworks with behavioral insights—translating behavior into data, data into insights, and insights into action.

Outside of work, she enjoys spending time in nature—camping, hiking, and exploring DC's vibrant food scene—as well as traveling whenever she gets the chance.