Reema Sree Sangaraju
About Reema Sree Sangaraju
Reema Sree Sangaraju is a Student Access Assistant at The George Washington University, where she has worked since 2023. She holds a Master's degree in Data Analytics and has experience in data science, including exploratory data analysis and machine learning.
Work at The George Washington University
Reema Sree Sangaraju is currently employed as a Student Access Assistant at The George Washington University in Washington, District of Columbia. She has held this position since 2023, contributing to the university's efforts to support student access and success. Her role involves assisting students in navigating academic resources and services.
Education and Expertise
Reema is pursuing a Master's degree in Data Analytics at The George Washington University - School of Engineering & Applied Science, with an expected completion date in 2024. She previously earned a Bachelor of Technology in Computer Science and Engineering from Christ University, Bangalore, from 2018 to 2022. Her educational background provides her with a strong foundation in data science principles.
Professional Experience in Data Science
Reema has gained practical experience in data science through various internships. She worked as a Natural Language Processing Intern at SmartKnower in 2021 for two months and as a WebOS Intern at LG Soft India for one month in the same year. Currently, she is a Data Science Intern at ElectroTempo, Inc. in Virginia, where she has been employed since 2023.
Skills and Certifications
Reema holds an IBM certification in data science, which complements her academic qualifications. She possesses skills in exploratory data analysis, modeling, prediction, machine learning, data visualization, and statistical analysis. Her commitment to staying current with developments in the data science field reflects her dedication to professional growth.
Commitment to Data-Driven Solutions
Reema is passionate about leveraging data to drive business growth and improvement. Her focus on using data analytics to inform decision-making underscores her commitment to applying her skills in real-world scenarios. She actively seeks opportunities to enhance her understanding of data science and its applications.