About

Narayan Raval is an ambitious and driven software application engineer at Accenture with a passion for electronics and communication engineering. He holds a Bachelor's degree in Electronics and Communication Engineering from L.D. College of Engineering and a diploma in the same stream. Narayan has a strong background in developing applications and has a demonstrated knowledge of machine learning. Narayan is a creative and innovative individual who has worked on several projects to broaden his skill set. He has developed a wall painting robot that can paint walls and a motion-following camera that can identify humans using machine learning algorithms. These projects have earned him recognition, including second place in Techfest and selection in a Hackathon. Currently, Narayan is working on a lie detection project using machine learning for his final year project. With nearly three years of relevant experience, Narayan has worked with Accenture as a BRM performance engineer and an application development associate. He has also worked with iCube Technologies as an Embedded System Engineer. Narayan's expertise in machine learning and his ability to develop applications that solve real-world problems make him a valuable asset to any team. Narayan is highly skilled in machine learning and has a strong interest in exploring new technologies. He is a quick learner, a team player, and has excellent communication skills. His passion for innovation and his ability to work with diverse teams make him an ideal candidate for any organization.