Vanshika Manchanda
Remote Sensing & Gis Intern @Gmda Gurugram Metropolitan Development Authority
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WORK HISTORY
Remote Sensing & Gis Intern @Gmda Gurugram Metropolitan Development Authority
Gurugram, IN
At GMDA, I work with Google Earth Engine (GEE) to analyze geospatial data for urban planning and environmental monitoring. My responsibilities include computing vegetation indices like NDVI and EVI, applying machine learning models for land cover classification, and generating time-series analyses (e.g, NDVI trends) to monitor landscape changes.I also manage the export of maps, feature datasets, statistical charts, and trained models, ensuring seamless data accessibility. Additionally, I am developing an interactive UI to visualize geospatial insights, making urban development data more intuitive and actionable.Collaborating with multidisciplinary teams, I integrate remote sensing and GIS technologies into city planning initiatives. This role has strengthened my skills in geospatial analysis, machine learning, and Python programming, while also enhancing my ability to work in a corporate environment, manage projects, and solve problems collaboratively.
EDUCATION
Hansraj College
Bachelor of science
G.G.S.S.S. Kaithal
Intermediate
Central University of Haryana, Mahendergarh
Master of Science (Data Science)
O.S.D.A.V Public School Kaithal
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ABOUT VANSHIKA MANCHANDA
I am a passionate Data Science master’s student with a strong academic foundation and hands-on experience in machine learning, data analysis, and geospatial project management. With a track record of awards for academic excellence and competitive programming, I excel in both collaborative teamwork and leadership roles. My current focus involves developing Google Earth Engine (GEE) applications, processing LANDSAT-9 and SENTINEL-2 data for advanced environmental and Earth observation analysis. Driven by a commitment to leveraging data for impactful decision-making, I am eager to contribute to projects in GIS, remote sensing, and sustainable development — transforming complex datasets into actionable insights for real-world challenges. I am actively seeking opportunities to apply my expertise in data science, geospatial analysis, and Earth observation, and I’m excited to collaborate with teams tackling meaningful, data-driven projects.
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