With a growing population, water shortages, and climate change impacts, it is clear that we need to keep working to find solutions that make agriculture more efficient. The efficiencies enabled by the advancement of digital technologies can help us get more out of agriculture while conserving our natural resources. I am a researcher passionate about using earth observatory data, geophysical measurements, and machine learning approaches to address these challenges.
2018 - 2021
Ph.D., Environmental Sciences (Soil &Water)
2015 - 2017
MS, Plant Science
2011 - 2015
BS, Agriculture
I have worked on various machine learning projects using agricultural datasets. Experience working with libraries such as TensorFlow, pandas, NumPy, matplotlib, seaborn, etc.
Proficient in analyzing satellite/drone imagery using platforms like ArcGIS, QGIS, and Google Earth Engine. Python libraries: Geopandas, Rasterio, xarray
Nov 2023 - present
Working as a Data Scientist, Remote Sensing. Climate LLC (DFS) is the digital farming arm of Bayer Crop Science.
Nov 2022 - November 2023
I worked as a contractor with the Data Insights Geospatial and Remote Sensing team. Responsible for fulfilling requests for geospatial data analysis from various teams and creating and presenting the workflow to stakeholders.
Jan 2022 - Oct 2022
The focus of my work was to study high-resolution soil-plant relationships. A particular focus was on the estimation of soil moisture by combining public and private soil moisture ground measurements, remote sensing, and other datasets with machine learning methods
Jan 2018 - Dec 2021
Dissertation: 'Advancing Urban Landscape Irrigation Management using Smart Controllers and Machine Learning-Based Models'. Worked on a variety of projects related to irrigation and water management using different approaches, such as advanced data acquisition, machine learning, remote sensing, and GIS & GPS technologies. I was responsible for aggregating & statistically analyzing large agricultural datasets using Python, R or MATLAB
Aug 2015 - Dec 2017
Thesis: 'Use of EM-38 soil surveys in forage fields at a saline drainage water reuse site to calibrate a hydro-salinity model for decision support.' I was responsible for conducting soil salinity mapping using electromagnetic sensing platforms and analyzing spatial data.