MSc Electronics Engineering (Space Communication & Sensing)
2017-10
2023-04
University of Pavia
BTech Electronics and Communications Engineering
2013
2017
JNTUH College of Engineering Hyderabad
I work on geospatial data science projects combining remote sensing, machine learning, and data visualization. My research focuses on using satellite imagery and spatial data to address challenges in agriculture, climate change, and environmental monitoring.
From mapping paddy fields using multi-temporal satellite imagery to analyzing urban land cover patterns, I enjoy solving real-world problems with data and technology.
Please reach out to collaborate!
Peer-reviewed research in agricultural remote sensing and machine learning.
Explore my portfolio of geospatial data science, machine learning, and data visualization projects.
A proof-of-concept study classifying post-harvest conservation agriculture practices in 75 rice fields (382 ha) across Pavia Province, Italy, using Sentinel-1 SAR and Sentinel-2 …
Satellite-based Rabi rice paddy field mapping in Telangana, India. Published in Environmental Challenges (Elsevier, 2025). Achieved 93.3% overall accuracy mapping 732,345 hectares …
This project implements a land cover classification system for the Pavia region in Italy, utilizing a fusion of Sentinel-1 and Sentinel-2 satellite data within the Google Earth …
Published Research: This project evolved into a peer-reviewed publication achieving 93.3% accuracy in mapping 732,345 hectares of rice cultivation across Telangana, India. In this …
📊 Comprehensive Climate Study (1950-2022) A detailed analysis of Rome’s changing climate using advanced data analysis and machine learning techniques. This project offers insights …
