I am currently a Research Assistant at the STIMA Lab, University of Massachusetts Amherst, under the supervision of Professor Jay Taneja. My research focuses on leveraging remote sensing and machine learning to enhance traditional data collection methods in regions with limited data availability. By integrating these advanced technologies with conventional survey-based approaches, I aim to facilitate more informed decision-making across various sectors in data-scarce countries.

In many developing nations, the lack of reliable data poses significant challenges for resource allocation and sustainable development. However, recent advancements in satellite technology, driven by substantial private and public investments, have greatly increased the temporal and spatial resolution of satellite imagery. This surge in high-resolution data presents an opportunity to bridge the gaps left by traditional methods. My work utilizes state-of-the-art machine learning techniques to analyze publicly available remote sensing data, providing stakeholders with clearer and more actionable insights. Specifically, my research addresses three critical areas essential for government policies and strategic decision-making: improving electricity access planning, optimizing transportation networks, and enhancing the measurement of economic indicators.

By applying remote sensing technologies and machine learning, I strive to improve planning processes in countries with limited access to high-quality data.