From Data to Intelligent Decisions
I am driven by a simple idea - that intelligent systems can transform how we understand and manage biological and environmental complexity. My work combines agronomy, machine learning, and scalable data engineering to build next-generation decision tools for agriculture. From disease forecasting to harvest prediction and nutrient management, I focus on translating uncertainty into actionable insight.
As AI continues reshaping industries, I am motivated to expand my impact beyond agriculture - building data-driven solutions that operate at scale and create measurable value.
Focus Areas
- Machine Learning & Predictive Modeling – Designing statistical and AI-driven models for decision support.
- Advanced Data Analytics & Visualization – Converting complex datasets into clear, actionable insights.
- Geospatial & Remote Sensing Analytics – Extracting value from satellite and drone imagery.
- Scalable Data Engineering & Cloud Workflows – Developing robust pipelines for production-ready analytics.
- Cross-Industry Data Science Applications – Applying analytical frameworks beyond agriculture.
Education
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MS (Computational Analytics), started 2026
Georgia Institute of Technology, US
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PhD (Plant pathology), Prediction System Development and Chemical Management, 2019
University of Florida, US
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MS (Plant pathology), Epidemiology and Chemical Management, 2011
Tribhuvan University, Nepal
