Raunak Srivastava
About Raunak Srivastava
Raunak Srivastava is a Data Science Intern at the National Institutes of Health, with previous experience as an undergraduate data science researcher at TMap and The Data Mine at Purdue University. He holds a Bachelor of Science in Computer Science and Data Science from Purdue University, where he studied from 2019 to 2023.
Work at National Institutes of Health
Raunak Srivastava currently holds the position of Data Science Intern in the Pathways Engineering program at the National Institutes of Health (NIH). He has been with NIH since 2021, contributing to various data science projects for a duration of three years. His role involves applying data analysis techniques to support research initiatives within the organization, which is known for its significant contributions to public health and biomedical research.
Education and Expertise
Raunak Srivastava pursued a Bachelor of Science in Computer Science and a Bachelor of Science in Data Science at Purdue University from 2019 to 2023. His education has equipped him with a strong foundation in data analysis, programming, and computational methods. He also attended Mission San Jose High School from 2015 to 2019, where he likely developed his initial interest in technology and data science.
Previous Experience in Data Science Research
Prior to his current role, Raunak Srivastava gained valuable experience as an Undergraduate Data Science Researcher at TMap in the Indianapolis, Indiana area from 2019 to 2020 for six months. He also worked at The Data Mine at Purdue University for four months in 2020. Additionally, he completed a Data Science Internship at OnPoint Insights in Wilmington, Massachusetts, for two months in 2020. These positions provided him with practical skills in data analysis and research methodologies.
Teaching Assistant Role at Purdue University
Since 2021, Raunak Srivastava has served as a Corporate Partner Teaching Assistant at The Data Mine at Purdue University. In this role, he assists in educational programs that connect students with industry partners, enhancing their learning experience in data science. His involvement in this position reflects his commitment to education and mentorship within the field.