Shivani Kharra
About Shivani Kharra
Shivani Kharra is a Geographic Information Systems Analyst with extensive experience in the Renewable Energy and Mapping Industries. She has worked in various roles, including ML Team Lead and GIS Developer, and holds advanced degrees in Geomatics and Big Data Analytics.
Current Role at Insight Global
Shivani Kharra currently serves as a Geographic Information Systems Analyst at Insight Global. She began this role in 2024 and has been contributing to various projects for 8 months. Her responsibilities include leveraging her expertise in geospatial analytics to support clients in the mapping and renewable energy sectors.
Previous Experience in Renewable Energy
Before joining Insight Global, Shivani Kharra worked at Genesis Ray Energy as a Senior GIS Associate from 2020 to 2022. She also held the position of Machine Learning Team Lead for 9 months in 2021. Her work in these roles involved design, analysis, and implementation of GIS solutions tailored for the renewable energy industry.
Educational Background
Shivani Kharra has a strong educational foundation in technology and engineering. She earned a Master of Technology (MTech) in Geomatics from CEPT University, studying from 2018 to 2020. Additionally, she completed a Master of Science (MS) in Big Data Analytics at Georgia State University - J. Mack Robinson College of Business in 2023. She also holds a Bachelor of Technology in Civil Engineering from Rajasthan Technical University, completed in 2015.
Experience in GIS and Mapping
Shivani Kharra has over 5 years of experience in the Renewable Energy and Mapping Industries. Her career includes roles such as GIS Developer/Consultant at INFOSPHERE INFORMATION TECHNOLOGY MACHINES PRIVATE LIMITED and GIS Data Engineer I at HERE Technologies. Her work has focused on design, analysis, modeling, and quality management within geospatial analytics.
Research and Development Contributions
Shivani Kharra has contributed to machine learning research and development projects, emphasizing a competency-focused approach. Her experience in this area complements her extensive background in geospatial analytics, particularly within the context of renewable energy applications.