Speaker "Batool Haider" Details
Batool is currently working as a Data Scientist for UnitedHealth Group’s Work Force Analytics Research team. Her team is engaged in helping UHG understand its massive talent landscape, discover new patterns and uncover previously hidden knowledge.
Before joining UHG, Batool served as a Research Assistant for two years at SUPRI-B- the Reservoir Simulation Research team at the Energy Resources Engineering department at Stanford University. Prior to that, she worked for Weatherford International Limited where she was awarded with the ‘Core Behavior Award on Innovation’. She has presented her research studies in many international conferences, and has conducted several Machine Learning projects with research teams at Stanford and Halliburton. These range from predicting cardiac arrhythmia in patients, to ranking the important precursors of high producing gas wells. She has also served as the Lead Tutor Computation and Natural Sciences at Stanford’s Summer Session, and the instructor of a popular workshop series at Stanford titled ‘Machine Learning in Plain English’.
Batool holds Master’s of Science degree in Petroleum Engineering from Stanford University.
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