Dhanush Bhargav
About Dhanush Bhargav
Dhanush Bhargav is a Graduate Teaching Assistant at The George Washington University, where he is pursuing a Master's degree in Data Science. He holds a Bachelor's degree in Electrical and Electronics Engineering from the Birla Institute of Technology and Science, Goa, and has experience as a Data Scientist and Associate in various companies.
Work at The George Washington University
Dhanush Bhargav currently serves as a Graduate Teaching Assistant at The George Washington University, a position he has held since 2024. In this role, he is involved in supporting faculty and students in the Data Science program. His responsibilities may include assisting in course preparation, grading assignments, and providing guidance to students. This position allows him to apply his knowledge in data science while contributing to the academic environment at the university.
Education and Expertise
Dhanush Bhargav completed his Bachelor's degree in Electrical and Electronics Engineering at the Birla Institute of Technology and Science, Goa, from 2016 to 2020. He is currently pursuing a Master's degree in Data Science at The George Washington University, which he began in 2023. His educational background equips him with a solid foundation in engineering principles and data analysis techniques.
Professional Experience in Data Science
Dhanush has professional experience as a Data Scientist at Tabner Inc., where he worked from 2021 to 2023. His role involved applying statistical methods and data analysis to solve complex problems. Prior to this, he worked as an Associate at UnitedLex from 2020 to 2021, where he gained experience in data management and analysis. Additionally, he interned at National Instruments in 2019, which provided him with practical exposure to the field.
Interests in Data Science Applications
Dhanush Bhargav has a strong interest in the applications of statistics and data science across various fields. He is particularly intrigued by problem-solving and analysis in data science contexts. His specific interests include the application of artificial intelligence in sports, health monitoring, and public policy, indicating a focus on leveraging data to drive improvements in these areas.