I am a dedicated researcher with over 13 years of experience in GIS, and remote sensing, with a strong focus on advancing technology to address real-world challenges. My research interests span a wide array of fields including climate change, GIS modeling, machine learning, and hydrological GIS applications. I have developed a machine learning-based method for calibrating ungauged catchments, which was published in the Hydrological Sciences Journal by Taylor & Francis, a journal with a notable impact factor of 3.78. This publication highlights my contribution to addressing a critical challenge in hydrological modeling.

In addition to my hydrological research, I have developed and taught numerous courses on GIS and remote sensing, with over 6,700 students enrolled globally on platforms such as Udemy. My expertise extends to advanced GIS techniques, including land use/land cover change prediction using the Markov model, hydrological simulations, and surface temperature analysis. I have also created several tools for ArcGIS, including watershed and soil erosion tools, as well as automation scripts for streamlining GIS tasks.

I have contributed to various high-impact government projects, including studies on the conjunctive use of water resources and assessments of climate change impacts on urban hydrology in India. My practical experience with agricultural practices, coupled with my deep understanding of GIS and machine learning, has allowed me to bridge the gap between traditional geographical knowledge and cutting-edge technological advancements.

My passion for learning and innovation is reflected in my work, where I consistently strive to develop new algorithms and technologies. I have also played a key role in training students and professionals worldwide, both through my online courses and international conference presentations. My contributions to the field have been recognized with an international award from Texas A&M University for my support and development work related to the SWAT model.

As a researcher, I aim to contribute to technological advancements that can improve the availability and usability of geospatial technologies in society. I am excited to further expand my research in climate change, GIS, and machine learning, and I am eager to collaborate with experts in the field to drive meaningful change.