About

Kunal Bansal is a highly skilled Data Engineer at Sense with over 3 years of experience in the field. He is a Computer Science graduate from the prestigious Georgia Institute of Technology, with a specialization degree in Machine Learning. Kunal is well-versed in programming languages such as Python and C, and has a deep understanding of data structures and algorithms. At his current position at Sense, Kunal is responsible for designing and implementing data pipelines, as well as developing and maintaining data infrastructure. He has a proven track record of delivering high-quality results in a timely manner, and is skilled in using AWS and Sagemaker for Machine Learning tasks. Prior to joining Sense, Kunal worked as a Software Engineer at Lime, where he built a data pipeline from scratch to ingest vehicle data and store it in real-time using Apache Flink. He also worked on the Machine Learning Portal, where he led efforts to move ML to AWS Sagemaker. Kunal has also worked as a Graduate Research Assistant at Georgia Institute of Technology. Kunal's educational background includes a Master's degree in Computer Science from Georgia Institute of Technology and a Bachelor's degree in Computer Engineering from Delhi Technological University. His technical skills include Data Engineering, Machine Learning, Python, AWS, Sagemaker, Software Engineering, Research Science, and Frontend development. With a relevant experience of 3.94 years, Kunal is a highly motivated and talented Data Engineer who is always eager to learn and grow in his field. His expertise in data engineering and machine learning makes him a valuable asset to any organization.