Preyasi Shah

Preyasi Shah

About Preyasi Shah

Preyasi Shah is a software engineering intern currently working at Lawrence Livermore National Laboratory. She has a Bachelor's degree in Data Science from the University of California, Berkeley, and has held various roles in technology and leadership throughout her academic career.

Work at Lawrence Livermore National Laboratory

Preyasi Shah currently serves as a Software Engineering Intern at Lawrence Livermore National Laboratory. She began this role in 2023 and has been working remotely. In this position, she engages in software development tasks that contribute to the laboratory's research initiatives.

Education and Expertise

Preyasi Shah studied at Ohlone College from 2021 to 2023, where she completed her studies in preparation for further education. She then attended the University of California, Berkeley, pursuing a Bachelor's degree in Data Science from 2023 to 2025. Her educational background equips her with skills in data analysis, software development, and machine learning.

Background in Software Engineering

Preyasi has gained practical experience in software engineering through various internships and roles. She worked as a Software Engineering Intern at the SCU Frugal Innovation Hub for two months in 2022. Additionally, she has experience with Ruby on Rails for database connectivity and has utilized Anaconda to set up Jupyter Notebook for machine learning experiments.

Leadership and Involvement in STEM

Preyasi served as a Senator of STEM for the Associated Students of Ohlone College from 2021 to 2022. In this role, she contributed to initiatives that support STEM education. She also held the position of Vice President for the Ohlone IEEE Club from 2021 to 2023, where she participated in promoting engineering and technology among students.

Research and Development Experience

In her role as Research and Development Deputy Director at OhloneHacks from 2021 to 2022, Preyasi conducted research on various database technologies to assess their suitability for laboratory projects. She created a database schema for implementation in PostgreSQL, demonstrating her ability to apply technical knowledge in practical settings.

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