Chief Data Scientist at Hitachi Vantara Federal
Dr. Pragyansmita Nayak is the Chief Data Scientist at Hitachi Vantara Federal (HVF). She explores the “Art to the Science” of data-centric solutions while engaging with various projects in the Federal Government domain. She has over 22+ years of experience in software development and data science. She holds a Ph.D. in Computational Sciences and Informatics from GMU (Fairfax, VA) and her thesis focused on the application of Machine Learning techniques for galaxy redshift estimation. She has guest lectured at GMU and GWU and is the organizer of the NOVA Deep Learning meetup and DC Metro Pentaho User Group (PUG). She lives in DC Metro with her husband and enjoys cooking, traveling and photography. For more information, visit her LinkedIn profile at https://www.linkedin.com/in/pragyansmita and Twitter profile at https://twitter.com/SorishaPragyan
WATCH LIVE: December 1 @ 1:10PM – 1:40PM ET
Data science projects have an astounding failure rate. Gartner 2019 states that through 2022, only 20% of analytic insights will deliver business outcomes. Technology advances are increasingly reducing the complexity associated with the development lifecycle and enabling convenient access to extensive amounts of computing and memory resources. Yet, the high failure rate is concerning. This talk will delve into five concepts that strengthen the foundation and will thereby increase the success rate – – Data Engineering – Data Ops – Data Catalog – Data Lineage – Multi-cloud hybrid Apart from the above five, another critical factor is the effective communication based on Design Thinking Principles between business and data team – aka, executives and data scientists. This will ensure that the right problems are being identified, prioritized and addressed in a time- bound manner.