About

Kavya Muralidharan is a highly motivated and self-driven MMSc student at the University of Waterloo with a passion for data science and applied machine learning engineering. With a strong background in electronic and communications engineering, Kavya has honed her skills in data analysis and software development, making her a valuable asset to any team. Kavya's interest in data science stems from her belief that data is the key to automation, and she is committed to exploring new ways to exploit data to uncover exciting and perceptible realities. As a data analyst and software developer at buyerassist.io, Kavya has gained hands-on experience in machine learning systems and deep learning, which has further strengthened her technical skills. Prior to her current role, Kavya worked as an ML Systems Engineer at Steradian Semiconductors, where she was responsible for developing and implementing machine learning algorithms for a range of applications. She also completed her final year thesis project on image captioning using deep learning at the National Institute of Technology Tiruchirappalli. Kavya's education history includes a Bachelor of Technology in Electronic and Communications Engineering from NIT Tiruchirappalli, where she graduated in 2021. She also completed her Class 12 education in the Science Stream from Indian School Sohar in 2017 and her Class 10 education from the same school in 2015. Kavya's technical skills include expertise in ML, software engineering, data science, and deep learning. With 1.94 years of relevant experience, Kavya is a highly skilled and motivated individual who is always eager to learn and grow.