For a stable version of resume, please click here - Sid Resume PDF Icon

Work Experience


Feb 2024 - Till date

Researcher - II Geospatial Science, NREL

May 2023 - Dec 2023

Computer Science - II Intern (GIS), NREL
  • Delivered NoSQL database solutions for LiDAR data storage. Designed Python library wrapping complex GIS workflows to help create Normalized DSM (nDSM), DEM, and DSM with OGC Metadata Standards.
  • Engineered geospatial big data (raster, vector) & geodatabase benchmarking. Developed Python functions to generate nDSM using USGS TNM API.
  • Designed and tested geospatial databases using on-prem/hybrid solutions like MongoDB, RasDaMan, and AWS (Lambda, S3).
  • Collaborated with GIS and computational science experts to develop Research Data Infrastructure (RDI) to reduce expertise threshold of working with geospatial data through Knowledge-Graph based data discovery service

Feb 2023 - Apr 2023

Graduate Project Assistant (GIS), Wisconsin Sea Grant
  • Developed and delivered meticulous data migration solutions for the Great Lakes ArcGIS Story Map Series to ArcGIS Experience Builder. Designed interactive wireframes and provided user experience (UX) improvement solutions

Sep 2022 - Dec 2022

Graduate Teaching Assistant, Dept of Geography
  • Responsible for teaching the lab component for Geog 377: Introduction to Geographic Information Systems (GIS) using ArcGIS Pro 3.0 for Fall 2022 under Professor A-Xing Zhu for a cohort of 81 students.

May 2022 - Sep 2022

Intern GIS Analyst, UW-Madison Brown County Extension
  • Performed spatial & network analyses. Created an ArcGIS online (AGOL) web application and web map viewer for community gardens in Brown county, WI. Access report PDF Icon
  • Collected and organized food sources data in Brown, Door, Kewaunee, and Manitowoc counties of Wisconsin. Created a successful public-facing interactive map product maneuvering over 31,000 views using GoogleMyMapsMap Icon
  • Designed a Google Sheets-based solution that allows non-GIS users to effortlessly update web maps. Conducted food desert analysis using socio-demographic & road network data adhering to USDA standards. Published a knowledge sharing product using an ArcGIS StoryMap Map Icon

Apr 2022 - Sep 2022

GIS Database Assistant, WGNHS
  • Performed spatial database editing using Arc Spatial Database Engine (ArcSDE) and attribute table updation for southwestern Wisconsin counties using legacy raster data.
  • Synchronized geologic information related to Lead and Zinc mines as part of the USGS data preservation project and contributed to Wisconsin's Mineral Development Atlas (MDA).

Jan 2019 - Jan 2021

Geodata Analyst, Larsen & Toubro Infotech (LTI Mindtree)
  • Worked on a big geodata management project, creating shapefiles & polygon boundaries. Developed quality control (QC) methods by creating Excel-based tools and contributed as a functional tester on the Mosaic automation tool.
  • Delivered advanced processed geodata products: Seismic, Well log, Maps, and Reports using NeuraMap and Neuralog for Exxon Mobil (US). Improved data processing quality using a keywords-based error mitigation mechanism.
  • Managed 12 resources as a sublayer QC and provided an enterprise-level solution that reduced data errors by 16%, which resulted in savings in data processing time by two minutes and 6 USD on invoice fines per document. Performed geotagging and data digitization using QGIS and SQL.

Technical Skills


  • Programming Languages: Python, HTML, CSS, Bootstrap, JavaScript
  • Geospatial Libraries: Python - Geopandas, GDAL, Geemap, PDAL, OpenStreetMaps (OSMnx), Arcpy, Shapely, Pyproj, PySAL, rasterio, reV, Kepler GL, Whitebox tools | JavaScript(JS) - Leaflet, D3, Mapbox
  • Databases: MongoDB (PyMongo), PostGIS & PostgreSQL, ArcSDE (Spatial Database Engine), RasDaMan DB
  • Software Tools: ArcGIS Pro, ArcMap Desktop, Adobe Illustrator (Ai) for Maps, Advanced Excel, ArcGIS Story Maps, ArcGIS Online (AGOL) Docker, Google Earth Pro, GitHub, MapBox, NeuraMap, NeuraLog, Petrel, QGIS
  • Geospatial Analytics: : Digital Terrain Analysis, Point Pattern Analysis, Raster & Vector Bigdata processing, Network Analysis, Food desert analysis.
  • Education


    Jan 2022 - Dec 2023

    University of Wisconsin-Madison

    Master of Science in GIS & Cartography, GPA: 4.00

    • Courses: Geographic Information Systems (GIS), Cartography, Geocomputing, Advanced Spatial Analysis, Graphic Design in Cartography, Advanced Geocomputing Geospatial Big Data Analytics, Interactive Cartography and Geovisualization, Design and development of Spatial databases.

    Jun 2015 - Aug 2019

    Vignan's University

    Bachelor of Technology in Petroleum Engineering, GPA: 3.91

    • Courses: Geology, Probability & Statistics, Reservoir Engineering, HR Management, Project Management

    Research & Achievements


    • Presented a conference talk titled “Enhancing Cartographic Design Through Artificial Neural Networks: A Geometric Approach for Map Generalization” at 43rd North American Cartographic Information Society (NACIS) conference in Pittsburgh, PA in October 2023. (click here)
    • Presented a poster titled "Geospatial data platform for all" using knowledge-graph at the US Department of Energy's Data Days Conference in Livermore, CA in October 2023.
    • Received "Best Cartographic Research" award at NACIS 2023 in recognition of map work titled "Understanding Mars: The Goldilocks Planet."
    • Received 2nd prize and nominated for Barbara Petchnick award for Graphic Design in recognition of map titled "Understanding Mars: The Goldilocks Planet" for academic year 2022 - 2023.
    • Published Environmental Sustainability of Drilling fluids in IIT-ISM Dhanbad conference indexed by Elsevier 2022
    • Received gold medal for continuous academic excellence and best outgoing student award for overall performance and contribution during 2015-19 at Vignan University.

    Certifications


    Project Experience


      Geosys Enterprise Solutions, Hyderabad, India

      Landuse and Landcover Analysis
    • Data preparation, data analysis, data identification from satellite imagery data for municipal solid waste disposal facility construction.

      Larsen & Toubro Infotech (LTI Mindtree), Mumbai, India

      Digitization of Subsurface Data
    • Developed several quality control methods for vintage seismic survey maps, well logs extracting metadata, navigation data, creating shapefiles, and polygon boundaries. PDF Icon