About

Ayushi Agrawal is a detail-oriented systems engineer with over 4 years of experience in machine learning and software development. She has in-depth knowledge of machine learning and deep learning algorithms, EDA, as well as mathematics and statistics required to solve real-world business problems. Ayushi is a winner of Smart India Hackathon 2018, which showcases her proficiency in developing innovative solutions to complex problems. Currently working as a System Engineer at TCS, Ayushi has demonstrated her ability to take on challenging tasks within strict deadlines while prioritizing urgent needs. She is adept at creating, developing, and testing highly adaptive services to translate business problems into substantial deliveries. Ayushi's experience includes working as a System Engineer - Intern at TCS, where she developed an android application that takes a data sheet and columns to plot as input, and develops a bar chart or a pie chart out of it. She has also worked as an Administrator at Social Wing, RAIT. Ayushi completed her Bachelor of Engineering in Computer Engineering from RAIT in 2019. Her tech stack includes AWS, ML, Javascript, Data Scientist, Research Scientist, NodeJS, Python, Deep Learning, test, Software Engineer, and Integration. With her relevant experience of over 4 years, Ayushi is a skilled data scientist with a passion for solving complex business problems using machine learning and software development.