Priyanshi Shah
About Priyanshi Shah
Priyanshi Shah is a Data Scientist at Thoughtworks in India, specializing in Natural Language Processing and Speech Recognition technologies. She actively mentors newcomers in the field and contributes to open source projects focused on Automatic Speech Recognition systems in Indic languages.
Work at ThoughtWorks
Priyanshi Shah has been employed at ThoughtWorks as a Data Scientist since 2020. In this role, she focuses on data science projects and applies her expertise in Natural Language Processing (NLP) and Speech Recognition technologies. Her work contributes to the development of innovative solutions within the organization, leveraging her skills in data analysis and machine learning.
Education and Expertise
Priyanshi Shah completed her Bachelor of Technology in Computer Science at DIT University from 2016 to 2020. Prior to this, she studied Science with Mathematics and Computer Science at All Saints' College, Nainital, achieving her XII from 2016 to 2020. Her academic background provides a strong foundation in technical skills relevant to her specialization in NLP and Speech Recognition.
Background and Internship Experience
In 2019, Priyanshi Shah interned at the Aryabhatta Research Institute of Observational Sciences for two months in Nainital, Uttarakhand, India. This internship provided her with practical experience in data science and research, further enhancing her understanding of the field and contributing to her professional development.
Contributions to Open Source Projects
Priyanshi Shah is an active contributor to Team Vakyansh, which focuses on developing open source Automatic Speech Recognition (ASR) systems for Indic languages. Her involvement in this team highlights her commitment to advancing technology in the field of speech recognition and her dedication to supporting language diversity in technology.
Mentorship and Professional Networking
Priyanshi Shah actively supports individuals who are starting their careers in data science by offering guidance and mentorship. She also provides valid referrals for various positions, indicating her strong professional network and willingness to assist others in their career advancement.