About

Rajat Singh is an experienced Data Analyst with a strong background in Industrial Engineering and Management. He holds a B-Tech and M.Tech from the prestigious Indian Institute of Technology, Kharagpur. Currently, he is working as a Data Analyst at Innovaccer, where he has been instrumental in developing data-driven solutions to complex business problems. Rajat is highly skilled in Python, Machine learning, Deep learning, Web Development, C++, Javascript, Cascading Style Sheets (CSS), PHP, C, and HTML. He has a demonstrated history of working in the information technology and services industry and has worked on a variety of projects involving Deep Learning, Neural Networks, and Data Science. In his previous role as a Deep Learning Intern at Indian School of Business, Rajat implemented Siamese neural network and Deep ranking model on Omniglot dataset to extract similarity between images. He achieved an accuracy of 82% in 20-way one shot learning by using a custom activation function in the output layer of the Siamese network. In his role as a Data Science Intern at Sagacito, he implemented Baron optimizer for the optimal allocation of channel time slots, satisfying the channel and client constraints. He formulated the constraints definitions dynamically as per problem requirement and thus removed redundancy from the code. He achieved a reduction of the code block by about 25% and a reduction of CPU clock time by 40%. Rajat is proficient in Deep Learning, Web Development, Python, Javascript, ML, PHP, Neural Networks, and Data Science. He has a relevant experience of 1.86 years and is always eager to learn new technologies and tools. He is a quick learner and has a passion for solving complex problems using data-driven approaches.