Gughapriyaa Elango
About Gughapriyaa Elango
Gughapriyaa Elango is a Data Engineer at CCC Intelligent Solutions in Chicago, Illinois, with a background in data science and engineering. She has experience working on various data-related projects and holds a Master of Science in Data Science from Syracuse University.
Work at CCC Intelligent Solutions
Gughapriyaa Elango has been employed as a Data Engineer at CCC Intelligent Solutions since 2023. In this role, she is based in Chicago, Illinois, where she focuses on processing claims data using big data workflows. Her work contributes to the company's data management and analytics efforts, enhancing the efficiency of their operations.
Education and Expertise
Gughapriyaa Elango studied at Syracuse University, where she is pursuing a Master of Science in Data Science from 2022 to 2024. She previously completed her Bachelor's degree in Architecture at Anna University Chennai. Her educational background is complemented by her high school studies at multiple institutions, including SBOA School and Junior College in Chennai, RSK Higher Secondary School in Trichy, and M.E.S Indian School in Doha, Qatar.
Background
Before joining CCC Intelligent Solutions, Gughapriyaa Elango worked at Our Ability, Inc. as a Data Science Engineer from 2022 to 2023 in Syracuse, New York. She also served as a Research Assistant at Syracuse University in the C4 Lab during the same period. Her previous experience includes a role as a Data Engineer at MorphLab in Mumbai, India, from 2021 to 2022.
Professional Experience
Gughapriyaa Elango has held various roles that have enriched her experience in data engineering and analysis. At Syracuse University, she worked as a Data Engineer in the iConsult Collaborative for three months in 2023 and as a NEXIS Student Technology Researcher for four months from 2022 to 2023. Her roles have involved creating insights for businesses and working on multiple projects as a student researcher.
Passion for Data Analysis
Gughapriyaa Elango is passionate about identifying patterns in data to create useful business metrics. This interest drives her work in data engineering and analysis, where she aims to leverage data to support decision-making and improve business outcomes.