Dynamic GIS Specialist with a robust foundation in programming, proficient in utilizing geospatial technologies and custom software solutions to generate impactful insights and enhance workflows. Recognized for strong productivity and efficient task execution, specializing in spatial analysis, data visualization, and geodatabase management. Key skills include problem-solving, teamwork, and adaptability, effectively applied to navigate complex projects and drive results. Seeking opportunities to further leverage expertise in GIS development and geospatial big data to contribute to innovative solutions.
Dynamic GIS specialist with a solid foundation in programming, adept at leveraging geospatial technologies and custom software solutions to deliver impactful insights and streamline workflows., Data Science, GIS, and Remote Sensing, Outstanding skill in geospatial big data and business data analysis, machine learning, user behavior, and social media data analysis, GPS-enabled vehicle and Bluetooth data analysis, hands-on expertise in concepts, tools, and methodologies for collection, storage, analysis, and interpretation of large, multidimensional data sets. Expertise in Geographic Information Science and spatial analysis tools and models. Competence in Remote Sensing and aerial imagery interpretation., Research and Development, Exceptional acumen in data mining and statistical analysis, design and development of GIS tools within ArcGIS environment, Remote sensing software and image classification, Spatial statistics, Research on human mobility, urban transportation, big geodata analysis, and social vulnerability indicator development for natural hazards., Communication and collaboration, Experience of being a partner with commercial, government, academic, and volunteer stakeholders to design data analysis projects, perform analysis and interpretation, and present research findings. Multicultural and multilingual skills, including English (fluent), Bengali (native), and Hindi (fluent)., Technology, Skilled in diverse technologies, including Python, JavaScript, HTML, CSS, ArcGIS, QGIS, ERDAS Engine, Google Earth Engine, ENVI, Google Maps API, SQL, PostGIS, Machine Learning, MATLAB, R, and SPSS.