Swapnil Singhavi

Swapnil Singhavi has been working in the field of technology since 2013. Swapnil started their career as an Analyst at Barclays, where they worked on various projects such as optimizing data storage time in data warehouses, facilitating data flow between two data warehouses, implementing ETL framework using SSIS, designing and creating data-marts with security features, creating a schema of stored procedures, and implementing a time series based changing dimension. Swapnil also worked on Service Operations Automated Release and Investment Banking projects, where they designed a configuration management database for Nolio systems, wrote JUnit test cases, and designed and implemented Failover Automation Production and Disaster Recovery database servers. In 2018, they became a Graduate Teaching Assistant at Carnegie Mellon University, and also worked as a Machine Learning Intern at Petuum, Inc. Since 2019, they have been working as a Software Engineer - Machine Learning at Petuum, Inc.

Swapnil Singhavi has an education history that includes a Master of Computational Data Science from Carnegie Mellon University (2017-2018), a Bachelor of Engineering (BEng) from Vidyalankar Institute Of Technology (2009-2013), and a High School degree from Shreerang Vidyalaya (1996-2007). Additionally, they have obtained a number of certifications, including Convolutional Neural Networks from Coursera (April 2018), Structuring Machine Learning Projects from Coursera (March 2018), Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from Coursera (February 2018), Neural Networks and Deep Learning from Coursera (January 2018), Duolingo Spanish Fluency: Elementary (Estimated) from Duolingo (October 2016), edX Honor Code Certificate for Introduction to Computer Science and Programming from edX (January 2013), and Introduction to Computer Science and Programming from edX (September 2012).