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Pragyansmita Nayak has extensive work experience in various roles related to data science, analytics, and thought leadership activities.

From 2017 to 2018, Nayak worked as a Principal Research Engineer at Apogee Research, LLC.

In 2018, Nayak joined Hitachi Vantara Federal as the Chief Data Scientist. In this role, they were responsible for architecting data-driven decision intelligence solutions for various defense, intelligence, and civilian agencies. Pragyansmita served as a subject matter expert in data management, data integration, business analytics, machine learning, and predictive analytics. Nayak was involved in both professional services deliveries and pre-sales opportunity pursuits. From 2020 to 2022, they worked as a Technical Architect for the Object-Based Storage (OBS) Solution at the Office of the Administration (OA) within the Executive Office of the President (EOP). Pragyansmita mentored the technical team and contributed to the development of data connectors and workflows for automated data ingestion and transformation.

Nayak has also been involved in thought leadership activities, including publications and conference participation. In 2023, they contributed to thought leadership articles for Hitachi Vantara Federal and participated in executive spotlights. In 2021 and 2022, Nayak presented at conferences on topics such as data fabric architecture and AI in data automation. In previous years, they have served as a panelist, moderator, and keynote speaker at various conferences and meetups, discussing topics related to cloud computing, statistical programming, advanced analytics, and data science.

Additionally, Nayak founded and organized Deep Learning focused meetups for the NoVA Deep Learning Meetup and DC Metro Pentaho User Group (PUG) from 2017 to 2020. Pragyansmita also worked as an instructor for deep learning courses at The Institute for Statistics Education at Statistics.com in 2019.

Overall, Nayak's work experience showcases their expertise in data science, analytics, and thought leadership in various domains and industries.

Pragyansmita Nayak's education history is as follows:

Pragyansmita Nayak obtained a Ph.D. degree in Computational Sciences and Informatics from George Mason University from 2003 to 2015. In 2019, they completed a program in Applied Machine Learning (EMC0119) at Columbia Engineering Executive Education, specializing in Machine Learning Statistical Foundations with Python Applications. Prior to that, from 2000 to 2003, they pursued an M.S. (Research) in Computer Science at the Indian Institute of Technology, Madras. In 1995, they graduated with a B.E. (Hons) degree in Computer Science from Birla Institute of Technology and Science, Pilani.

Additionally, Pragyansmita Nayak completed various online courses or MOOCs. From 2013 to 2015, they enrolled in Coursera MOOCs, and they also engaged in other MOOCs. In 2019, they earned CPE (Continuing Professional Education) credits in various fields.

In terms of high school education, Pragyansmita Nayak completed their +2 Science from BJB College, Bhubaneswar, specializing in Physics, Chemistry, Mathematics, and Electronics. Pragyansmita also obtained their ICSE, 10th grade degree from St. Joseph's High School, Bhubaneswar with a focus on Computer Studies.

Furthermore, Pragyansmita Nayak possesses additional certifications. Pragyansmita obtained the CompTIA Security+ certification from CompTIA in June 2020. In October 2018, they completed the Blockchain Coursera specialization, a 4-course specialization offered by The State University of New York and University at Buffalo. In March 2014, they obtained the Certified Scrum Master (CSM) certification from Scrum Alliance. Lastly, in June 2007, they earned the ITIL Foundation Certificate from ITIL Certified.