Prashasti Sharma
About Prashasti Sharma
Prashasti Sharma is the International Production Lead 3 for Document Cloud at Adobe, where she has worked since 2021. She specializes in data analysis, machine learning, and business intelligence, and has a background in software engineering and data science.
Work at Adobe
Prashasti Sharma has been employed at Adobe since 2016, initially serving as a Global Web Producer until 2019. She then transitioned to the role of International Production Lead, where she has worked since 2021. In her current position as International Production Lead-3 for Document Cloud, she focuses on data analysis and its application in enhancing document management solutions. Her expertise includes machine learning and business intelligence, contributing to the development and optimization of Adobe's Document Cloud offerings.
Education and Expertise
Prashasti Sharma holds a Bachelor of Technology (BTech) in Computer Science from Bbd Northern India Institute Of Technology, where she studied from 2010 to 2014. She furthered her education by obtaining a Post Graduation Diploma in Data Science from the International Institute of Information Technology Bangalore, completing her studies in 2021. Currently, she is actively pursuing advanced education in data science to enhance her analytical skills, emphasizing her commitment to continuous learning and professional development.
Background
Before joining Adobe, Prashasti Sharma worked at HCL Technologies as a Software Engineer from 2014 to 2016. This role provided her with foundational experience in software development and engineering. Her career at Adobe began in 2016, where she has since progressed through various roles, demonstrating her growth and adaptability in the tech industry.
Achievements
Throughout her career at Adobe, Prashasti Sharma has played a significant role in various projects related to document management and production. Her specialization in machine learning and business intelligence has positioned her as a key contributor to the Document Cloud team. Her ongoing education in data science further supports her ability to drive innovation and efficiency in her work.