Didarul I.

I am a Spatial Data Scientist and GIS programmer with over 7 years of professional experience. My work focuses on using GIS, remote sensing, and advanced data science techniques to solve complex spatial problems. I hold a Ph.D. from George Mason University and an M.S. from Central Michigan University, with advanced degrees in GIS, Remote Sensing, and Machine Learning. I have expertise in a wide range of geospatial fields, including location intelligence, location optimization, GIS for real estate, precision-agriculture, remote sensing data analysis, forestry, environment and spatial data gathering and processing. I excel at turning raw spatial data into actionable insights by integrating GIS, remote sensing, and data mining tools. I am proficient in Python and skilled at spatial data modeling, workflow automation, and developing machine learning models for geospatial applications. I have experience with nearly all GIS, remote sensing, and machine learning libraries available in Python and R. I also have extensive experience with Google Earth Engine (GEE) for remote sensing data extraction, processing, and analysis. My technical skills are supported by hands-on experience with leading industry software, including ArcGIS Pro, ArcMap, ArcGIS Online, ERDAS Imagine, ENVI, and PIX4D. Whether you need advanced spatial analysis, custom GIS solutions, or detailed data insights, I am equipped to deliver high-quality results that make a difference