Amninder Singh Email & Phone Number

Los Angeles, Ca, Us

Los Angeles, Ca, Us

St. Louis, Missouri, Us

Climate LLC (DFS) is the digital farming arm of Bayer Crop Science.

St. Louis, Missouri, Us

• Performed EDA, data cleaning, and leveraged existing pipelines to deliver high quality remote sensing data to stakeholder teams within set timelines.• Collaborated with team members in designing, developing, and testing geospatial pipelines for remote sensing data extraction and machine learning model deployment.• Evaluated and analyzed spatial indexing systems such as Geohash, H3, and S2 to understand their viability for different use cases, ensuring alignment with the team’s requirements.• Writing detailed technical documentation using Markdown and Jupyter Notebook.

Riverside, Ca, Us

• Leveraged Google Earth Engine’s Python API and Planet Labs APIs to get satellite data, including synthetic aperture radar (SAR), multispectral optical imagery, land use/crop type (USDA CDL, USDA NLCD), soil properties (SSURGO, POLARIS), weather (GRIDMET), and SRTM Digital Elevation Data (DEM).• Implemented machine learning models (Random Forest, LightGBM) for soil moisture estimation using Python libraries.• Use vegetative indices derived from optical imagery to get phenological parameters of a crop and study relationships with soil salinity/texture.• Collaborated with private companies and data scientists to implement new strategies and fulfill project requirements.• Participated in soil surveys using electromagnetic (EM) induction, L-band radiometer, and soil sampling campaigns.

Riverside, Ca, Us

Dissertation: Advancing Urban Landscape Irrigation Management using Smart Controllers and Machine Learning-Based Models• Sampling and analyzing soil hydrology field measurements, including soil water potential, soil volumetric water content, infiltration, evapotranspiration, and weather data.• Developed deep learning models including Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) utilizing soil hydrology and time-series weather data.• Collaborated and participated in several field campaigns supporting remote sensing projects• Aggregating & and statistically analyzing large agricultural datasets using Python, R, or MATLAB.

Fresno, Ca, Us

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.Associate Graduate Student with HEADS, Lawrence Berkeley National Laboratory. Group Leader: Dr. Nigel W.T. Quinn• Led soil surveys, sampling, and analysis to map soil salinity using geophysical measurements from an electromagnetic (EM) induction instrument.

Doctor Of Philosophy - Phd, Environmental Sciences (Soil & Water)

Master'S Degree, Plant Sciences

Bachelor'S Degree, Agriculture (Honors In Soil Science, Agronomy And Agroforestry)