About

Krishna Chourasia is a Microsoft Certified Data Engineer/Scientist with a passion for working with data and machine learning. With a Bachelor of Science in Data Science and Programming from the prestigious Indian Institute of Technology, Madras, and a Bachelor of Engineering in Computer Science from Oriental Institute of Science & Technology, Krishna has a strong academic background in both data science and computer science. Krishna is a polyglot programmer who is able to quickly learn and apply new technologies. He has experience working with a wide range of languages, including Python, C++, JavaScript, and Java, as well as frameworks such as Spark, Django, Kafka, and Express.js. He is also familiar with libraries such as React.js, Pandas, Scikit Learn, and Tensorflow, and has worked with databases such as MySQL and MongoDB. Krishna's current role is as a Data Engineer at TCS, where he has worked on big data analytics projects for the world's largest FMCG company. He has developed multiple Databricks notebooks and ETL pipelines, and has experience working with Azure services such as Azure Databricks, Azure Datalake, and Azure Data Factory. He is also familiar with Azure DevOps, Logic Apps, Power Automate, Power Apps, and Sharepoint. Krishna is an Agile team player, and enjoys working with international teams. In addition to his current role, Krishna has worked as a Software Engineer at SpotRental, a rental service start-up, and as an SDE Intern at Infotek Solutions, where he developed with Boto3 SDK and AWS Cloud platform. Krishna has a keen interest in research and has experience working as a Research Scientist. Krishna's technical expertise includes data engineering, Azure, Databricks, AWS, ETL, machine learning, Spark, SQL, Python, backend, infrastructure, AI, Scikit, Tensorflow, Pandas, NoSQL, DevOps, big data, MySQL, MongoDB, Kafka, Django, mobile, Keras, Sagemaker, CI/CD, GCP, and web. With 3.44 years of relevant experience, Krishna is a valuable asset to any team working with data and machine learning.