About

Aditya Singh is a graduate student at Carnegie Mellon University pursuing a master's degree in Data Science and Machine Learning. He completed his advanced major in Computer Science from Ashoka University in 2020, where he gained knowledge in essential mathematics courses like Real Analysis and Algebra and Machine Learning courses. Aditya has a relevant experience of 0.26 years and is currently searching for a 2022 summer internship. Aditya has experience as a research assistant, where he formulated research problems and discovered novel solutions. His current work at CMU focuses on gaining a deeper understanding of intelligent algorithms that can be used on large datasets to make a significant impact on society. He is currently working on standardizing a novel psychology-inspired approach to the problem of Sound event recognition using Recurrent Neural Networks at the Language Technologies Institute at CMU. Aditya has worked as a Deep Learning Researcher at Carnegie Mellon University. His work includes using large audio datasets to build action feature extractor(RNN) to improve Sound Event Classification (SEC) and using a transfer learning approach, working under Dr. Bhiksha Raj and Dr. Benjamin Elizalde. Aditya has worked as a Graduate Research Assistant at Zuzlab, where he analyzed transaction data in urban and rural communities for integrated deployment of ZUZ, a community-based digital currency implemented using smart contracts. He also partnered with the co-operative Amul to design a secure community financing model, reducing friction and liquidity problems in capital distribution. Aditya has also worked as a Research Assistant at Ashoka University, where he trained a CNN model for tasks of object, material, and human detection using low-frequency radio waves as input. Aditya's education history includes a Master's degree in Information Systems and Data Science from Carnegie Mellon University, a Diploma in Advanced Studies and Research in Computer Science from Ashoka University, and a Bachelor of Science in Computer Science from Ashoka University. Aditya's tech stack includes Research Scientist, Deep Learning, Data Scientist, ML, RNN, Smart Contract, Neural Networks, and CNN. With his relevant experience and in-depth knowledge of Data Science and Machine Learning, Aditya is an asset to any organization looking for a talented individual to join their team.