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 Batool Arhamna Haider

Batool Arhamna Haider

Applied Scientist @ Amazon Artificial Intelligence

Batool is currently working as an Applied Scientist with Amazon Lex – Artificial Intelligence team. She, alongside her fellow scientists, help AWS build smarter or “more human-like” conversational machines (chatbots) using state of the art natural language understanding research. Before joining AWS, Batool worked as a Data Scientist for UnitedHealth Group’s Human Resources Research team where she initiated several machine learning projects to study the company’s massive workforce (+200K employees). Prior to that, she served as a Research Assistant at the Reservoir Simulation Research team - Energy Resources Engineering department at Stanford University, while pursuing Masters. She also served as the Lead Tutor Computation and Natural Sciences at Stanford’s Summer Session 2015. Her machine learning projects range from predicting which employees will quit in the next 2 years using human resources data, to which patients have heart defects using electrocardiogram data, and which oil wells have high potential to produce hydrocarbons using geological data.

 

 

Batool aspires to become a science/technology communicator and is currently authoring a book titled ‘Machine Learning Samurai’. She is a member of Stanford's Wushu (Kung Fu) group.