Sneha is a Software Development Engineer with the Personalization team at Amazon. Her work involves using customer behavior data to guide hypothesis-driven experimentation and developing highly personalized recommendation experiences for Amazon customers. She holds a Master’s degree in Computer Science (Machine Learning) from the University of Pennsylvania. She’s passionate about AI and working with data. Her research focus at Penn was in the fields of Machine Learning, Natural Language Processing, and Deep Learning. She has presented her research at notable conferences like the Annual Meeting of the Association for Computational Linguistic, Mid-Atlantic Student Colloquium on Speech, Language and Learning, Grace Hopper Celebration for Women in Computing, GDG Dev Fest, and AlterConf.