Gayatri Ryali

Applied Scientist - II

Gayatri Ryali has a strong background in applied science and data analysis, with relevant experience at prominent companies including Amazon, INEDA Systems, Microsoft, and NSEIT Limited. At Amazon, Gayatri excelled as an Applied Scientist in two progressive roles from July 2021 to December 2023, focusing on advanced scientific methodologies. Previous experience as a Deep Learning Engineer at INEDA Systems involved developing deep reinforcement learning applications for assisted driving and autonomous vehicles. While at Microsoft, Gayatri contributed to product subtype classification using deep learning to enhance user experience on Bing. Additional roles included data scientist duties at NSEIT Limited, conducting stock market analysis and predictions using machine learning, and mentorship and coordination positions during studies at IIT Madras. Educational qualifications include a dual degree in Computer Science from the Indian Institute of Technology, Madras, and ongoing studies in Master of Business Law at the National Law School of India University, specializing in Banking, Corporate, Finance, and Securities Law.

Location

Chennai, India

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