WORK EXPERIENCE

 

CBRE

GIS Analyst I

GIS Technician II​

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World Wildlife Fund

Forest Strategy and Research Graduate Intern

• Conducted extensive literature reviews. Utilized advanced GIS techniques to collect and curate unique data layers to enrich a geospatial tool called PIE (Place-based Impact Estimator), to act as a powerful decision-making resource for biodiversity conservation and restoration.

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Georgia Institute of Technology 

Graduate Teaching Assistant

• GTA for the Urban Transportation Planning Lab (CEE6702/CP6702) under Dr. Catherine L. Ross
• Designed and developed a website for a Puerto Rican NPO as part of a GT SCARP studio.

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National Technology Centre for Ports, Waterways & Coasts (NTCPWC), (IITM)

GIS Project Intern

• Analyzed satellite data for retrieval of hydrogeomorphic parameters.

• Integrated field observations such as water levels to quantify sedimentation and erosion, enabling us to comprehensively understand the river's dynamics.

• Developed change detection maps of the Brahmaputra River for ferry night navigation.

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Indian Institute of Remote Sensing (IIRS), ISRO

Remote Sensing & GIS Research Intern

• Created a ML model using classical algorithms like multivariate and univariate linear regression.

• Predicted plant parameters of Kharif/monsoon crops such as height, % canopy cover, and biomass.

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Centre of Water Resources (CWR), CEG​

Summer Research Intern

• Mapped flood-prone areas across four wards located within the Adyar watershed.
• Analyzed the different layers such as rainfall, soil type, LULC, slope, distance to the river, contour, and drainage density using hydrological and weighted overlay tools.

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PROJECTS

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Study of the effect of Atlanta’s Beltline

• Compared demographic & socioeconomic factors to study the direction of urban movement.​

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Forest fire risk and endangered species mapping using GIS

• Identified the critical zones of forest fires at various levels with the help of elevation and land use data.

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Fall Foliage Interactive Dashboard

• Created a dashboard to observe the peak of fall season throughout the US using geotagged Flickr APIs.

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Undergrad Final Year Thesis Project

Sea Surface Temperature (SST) Prediction using Neural Networks

• Generated a time series prediction of SST with the help of five different deep learning models.
• Examined the variability of seasonal SST for both the Arabian Sea & Bay of Bengal regions for 18 years.

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Correlation between rainfall and groundwater

• Analyzed the correlation between groundwater & precipitation for the entire District of Kancheepuram.

 

Affine Transformation of Coordinates Application

• Prepared an application to perform affine transformation on sets of coordinates for the Photogrammetry Lab at the Institute of Remote Sensing.

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