KARTHIKEYAN N

GIS Analyst & Developer

Chennai

Summary

Geospatial specialist with 6+ years of hands-on experience in spatial data engineering, hydrological modeling, and UAV-derived terrain analytics. Proficient in building Python-based geospatial automation pipelines using GDAL, Rasterio, GeoPandas, Shapely, and NumPy to process, transform, and analyze large-scale raster and vector datasets. Experienced in DEM/DTM generation, watershed delineation, flow modeling, and spatial data integration to support renewable energy and infrastructure planning. Adept at optimizing geoprocessing workflows, handling high-volume geospatial datasets, and developing repeatable analytical tools to improve efficiency and accuracy. Currently focused on advancing into a Geospatial Developer role centered on scalable spatial data processing, automation frameworks, and integration of GIS with modern software development practices.

Overview

years of professional experience

Work History

Head GIS Analyst

Datasee.AI

02.2020 - Current

Led large-scale hydrological modeling projects, including watershed delineation, drainage extraction, and flood-risk assessments, using DEM datasets.
Developed Python-based automation scripts that reduced manual GIS processing time by approximately 40 percent.
Generated contours, slope models, terrain surfaces, and drainage networks across 1,500+ sq. km of surveyed land.
Processed and analyzed 20 GW+ UAV thermal imagery datasets for solar panel defect detection in compliance with IEC standards.
Delivered multi-temporal UAV RGB and point cloud analytics for solar and wind construction monitoring across the UK, the USA, the UAE, and India.
Conducted vegetation index analysis, including NDVI and SAVI, for agricultural and environmental monitoring.
Collaborated with multidisciplinary engineering teams and international clients to ensure accurate and timely geospatial deliverables.

GIS Analyst

Darashaw & Company Ltd

07.2019 - 02.2020

Combined remotely-collected and on-site data acquisition to generate unified geographic mapping information.
Enhanced GIS data accuracy by conducting comprehensive spatial analysis and data validation.
Developed custom geoprocessing tools to automate repetitive tasks, increasing team productivity.
Managed large-scale geodatabase projects, ensuring timely delivery of high-quality GIS products to clients.

Education

Master of Science - Earth Remote Sensing & Geo-Information Technology

Madurai Kamaraj University

Madurai, India

04.2001 -

Skills

Programming: Python (GDAL, Rasterio, GeoPandas, Shapely, NumPy), SQL

GIS Software: ArcGIS Pro, QGIS, Global Mapper, ArcCatalog

Hydrology Tools: Flow Accumulation, Stream Order, Basin Delineation, HEC-RAS, HEC-HMS

Remote Sensing: DEM/DTM, Contours, Slope/Aspect Analysis, Vegetation Indices

Photogrammetry: Agisoft Metashape, Pix4D, DJI Terra

Engineering Tools: AutoCAD, MicroStation

Project Experience

Hydrology Projects: BGL Energy (UAE) and Udangudi – Zelestra (India) – Performed watershed delineation, drainage modeling, and flood-risk assessment using DEM-based analysis.
Solar Power Projects (Middle East): Sudair, NEOM, Al Khushaybi, Araas, and Al Humaij – Conducted UAV-based terrain analysis, grading validation, and thermal inspection for utility-scale solar development.
Solar Power Projects (India): Udangudi, Bidar, and Dhoni – Generated contours, slope analysis, and hydrological suitability assessments for solar infrastructure planning.
Wind Power Project (Middle East): NEOM – Executed terrain suitability and drainage evaluation to support wind farm layout optimization.
Electric Power Stations (India): Jhansi and Jammalamadugu – Delivered elevation modeling and stormwater drainage analysis for power plant infrastructure.

CORE COMPETENCIES

Geospatial Workflow Automation (Python)
Hydrological & Watershed Modeling
DEM/DTM Processing & Terrain Analysis
Remote Sensing & Vegetation Indices (NDVI, SAVI)
UAV Thermal & RGB Image Analysis
Solar & Wind Energy GIS Support
Spatial Data QA/QC & Large Dataset Processing

CAREER OBJECTIVE

To leverage strong expertise in GIS, hydrology, and remote sensing along with Python automation skills to build scalable geospatial systems and transition into a Geospatial Developer role.

Timeline