Ashvi Soni
About Ashvi Soni
Ashvi Soni is an Instructional Assistant at The George Washington University, specializing in R and Python. She holds a Bachelor of Engineering in Computer Engineering from Gujarat Technological University and a Master of Science in Computer Science from The George Washington University.
Work at The George Washington University
Currently, Ashvi Soni serves as an Instructional Assistant for both Introduction to R and Introduction to Python at The George Washington University. She has held this position since 2020, contributing to the education of over 200 students by assisting them with homework and assignments. In addition to her role as an Instructional Assistant, she works as a Programmer and Data Analyst at the Milken Institute School of Public Health, a position she has held since 2021. Her responsibilities include developing data analysis tools and contributing to various research projects.
Education and Expertise
Ashvi Soni completed her Bachelor of Engineering in Computer Engineering at Gujarat Technological University from 2015 to 2019. She furthered her education by obtaining a Master of Science in Computer Science from The George Washington University, where she studied from 2019 to 2021. Her academic background is complemented by a wide range of technical skills, including proficiency in programming languages such as Python, R, SQL, and Java, as well as experience with libraries like TensorFlow/Keras, PyTorch, and Scikit-Learn.
Background
Before her current roles, Ashvi Soni gained practical experience as a Junior Developer Intern at Silverwing Technologies PVT LTD in 2018. During her internship, she worked for five months in Ahmedabad, Gujarat, India. This early experience laid the foundation for her technical skills and understanding of software development processes.
Achievements in Research Projects
Ashvi Soni has made significant contributions to the COVID-19 Community Research Partnership Project. She organized meetings with ten different research sites, created meeting agendas, and assigned action items. Additionally, she developed an ETL pipeline for patient surveys from multiple COVID-19 diagnosis sites. Her analytical skills were further demonstrated when she detected a significant HIPAA violation by examining data sets during the project.