Harini Eavani, a highly accomplished Data and Applied Scientist II at Microsoft, has an impressive educational background and diverse industry experience. She holds a Ph.D. in Medical Image Analysis from the prestigious University of Pennsylvania, a Master's in Science in Electrical Engineering: Systems from the University of Michigan, and a B.Tech in Electrical Engineering from the Indian Institute of Technology, Madras.

Prior to her current role at Microsoft, Harini served as a Data Science Manager at Intel, Data Scientist at JPMorgan Chase & Co., and Graduate Student Researcher at the University of Pennsylvania. She also held various internships at top companies like Valeo, MindTree, and Xilinx, among others.

As a Data and Applied Scientist, Harini is known for her expertise in medical image analysis, artificial intelligence, machine learning, deep learning, computer vision, and natural language processing. Her research interests include developing algorithms to improve medical diagnosis and treatment, as well as designing efficient computer vision systems.

Harini has been widely recognized for her contributions in the field, receiving several awards and publications. Her wealth of knowledge and experience makes her a valuable asset to any organization she joins.