Sai Abhishree Pappusetty
About Sai Abhishree Pappusetty
Sai Abhishree Pappusetty is a Student Technical Assistant currently working at The George Washington University, where she is pursuing a Master of Science in Computer Science/Data Science. She previously served as a Teaching Assistant at Minerva Project, facilitating courses in Communicative English and Statistics.
Work at The George Washington University
Currently, Sai Abhishree Pappusetty serves as a Student Technical Assistant at The George Washington University. This role commenced in 2022 and has continued for two years. In this position, Pappusetty applies technical skills to support academic projects and assist fellow students in their learning endeavors.
Previous Experience at Minerva Project
Prior to the current role, Pappusetty worked as a Teaching Assistant at Minerva Project from 2019 to 2020 for a duration of ten months. Based in Amaravati, Andhra Pradesh, India, this role involved facilitating courses in Communicative English and Statistics. Pappusetty contributed to the development and delivery of course materials and assessments, enhancing the educational experience for students.
Educational Background in Computer Science
Pappusetty completed a Bachelor of Technology (BTech) in Computer Science at SRM University, AP, from 2018 to 2022. Following this, Pappusetty pursued a Master of Science (MS) in Computer Science/Data Science at The George Washington University, which is expected to be completed in 2024. This educational background provides a strong foundation in technical skills and data analysis.
Skills and Contributions
Throughout academic and professional experiences, Pappusetty has demonstrated skills in data analysis and technical documentation. In the role at Minerva Project, Pappusetty helped students improve their English proficiency and presentation skills, showcasing a commitment to enhancing educational outcomes.
Aspirations in Data Science
Pappusetty aspires to leverage skills and experiences in data science to create a positive impact and value for society. This ambition reflects a dedication to using technical knowledge for societal benefit, aligning with current trends in data-driven decision-making.