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Shradha Shrestha

Geospatial Data and Computing Associate @American Farmland Trust

Morgantown, WV, US
MOBILE NUMBERS
+15β€’β€’β€’β€’β€’β€’β€’93

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WORK HISTORY

Sep 2020 β€” Present

Geospatial Data and Computing Associate @American Farmland Trust

A key contributor to several high-impact projects, including \"Farms Under Threat (FUT)\" and β€œProtected Agricultural Lands Database (PALD)\". Recently, leading the development of an advanced automated calculator designed to identify avoided GHG emissions for urban development across agricultural parcels nationwide. My primary work includes: Develop a Python-based pipeline for the National Avoided Conversion Calculator to calculate GHG emissions offsets for agricultural land parcels by optimizing geospatial data processing Develop an Excel-based tool for the CONUS scale to calculate GHG emissions offsets from agricultural land parcels. Data wrangling, analysis, and interpretation Consolidate and integrate a nationwide protected agricultural land database Manage and optimize spatial datasets across geospatial platforms such as Geodatabase, ArcGIS Online, SharePoint, and enterprise GIS systems Performe QA/QC of agricultural spatial datasets through Python-based automation for accuracy and quality control Design web applications, interactive maps, and story maps for visualization Design and implement map templates across various projects in the organization Create project documentation, including design, development, and deployment

EDUCATION

2008 β€” 2010

St. Xavier's College, Maitighar

Intermediate in Science (Isc)

2017 β€” 2020

Rochester Institute of Technology

Master of Science - MS

2011 β€” 2015

Pokhara University

Bachelor of Science - BS

SKILLS

Time ManagementSocial MediaPowerpointMicrosoft ExcelProject ManagementEnglishMicrosoft WordMicrosoft OfficeWindowsGis and Remote SensingHtmlPublic SpeakingTeamworkResearchDocumentation

ABOUT SHRADHA SHRESTHA

I am Shradha Shrestha, a researcher and data analyst passionate about machine learning applications, geospatial data exploration, and power grid research.My research focuses on enhancing power grid resilience through machine learning models (specifically, large language models).

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