- Developing FME workflows to automate the processes of data conversion, validation, migration, and analysis.- Developing Python tools to automate the processes of data conversion, validation, migration, and analysis.- Collaborate with product managers and stakeholders to define project scopes, prioritize tasks, and ensure timely delivery of features

- Monitoring the performance of GIS team members, making periodic reports to management on UAV data processing, mapping, geo-analytics, and 3D model creation team activities, and ensuring the quality of deliverables- Involved in a variety of projects at the same time, understanding client expectations, working towards deadlines, and keeping on top of budgets.- Creating quality guidelines and techniques to guarantee data accuracy. Creatingconceptual and physical schema geo-databases based on client requirements.- Creating models using GIS, remote sensing, and Python techniques to automate most of the analysis processes.- Converting data from different formats and assigning spatial references (BIM models, CAD data, etc.) to ensure data suitability for further analysis- Cleaning data (geometry and organized tables) and formatting it as per requirements.- Performing raster and vector data-based spatial analysis and network analysis to meet the needs of stakeholders and users.- Creating 3D models using the CGA shape grammar programming language in City Engine and publishing them as online services- Processing UAV data to produce DEMs, orthophotos, and mesh models for spatial analysis.- Extracting features and publishing them as services on the data serverUsing GDAL for raster and vector geospatial data formats and performing many geoprocessing tasks.- Performing data analysis and manipulation activities with the help of Python libraries such as ArcPy, Pandas, lxml, OS, Matplotlib, and Geopandas.

- Procuring and pre-processing satellite images to be used for feature extraction and analysis.- Conducting crop classification and acreage estimation using optical satellite imagesPreparing stream and watershed data using DEM data.- Performing suitability analysis to identify industrial suitable areas.- Conducting GPS-based field surveys for signature collection of various crops and monitoring field survey data capturing activities.- Using a band selection approach with orthogonal space projections to identify thespectrally distinct and most informative bands in the data cube.- Classifying heavy minerals using hyperspectral images with the help of USGSspectral profiles.- Extracting features, performing analysis, and conducting quality checks to meet the needs of the projects.