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As a Data Scientist at Climate, I contribute to the development of scalable pipelines and automation workflows to streamline data extraction, processing, and model inference. I also deliver crop type and land use information at scale from remote sensing products and extract insights essential to support requests from other teams.I have a PhD in Environmental Sciences from the University of California, Riverside, where I focused on studying urban landscape irrigation management using smart controllers and machine learning models. I have 6+ years of demonstrated experience in working with agricultural and data science projects, using various tools such as Python, R, and MATLAB. I am passionate about improving agricultural efficiency by leveraging earth observatory data and AI to address challenges like water shortages and climate change impact.
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Geospatial Data ScientistClimateLos Angeles, Ca, Us
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Data ScientistClimate Nov 2023 - PresentSt. Louis, Missouri, UsClimate LLC (DFS) is the digital farming arm of Bayer Crop Science.
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Geospatial Data ScientistClimate Nov 2022 - Nov 2023St. 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.
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Postdoctoral ResearcherUniversity Of California, Riverside Jan 2022 - Oct 2022Riverside, 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. -
Graduate Student ResearcherUniversity Of California, Riverside Jan 2018 - Dec 2021Riverside, Ca, UsDissertation: 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.
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Graduate Research AssistantCalifornia State University, Fresno Aug 2015 - Dec 2017Fresno, Ca, UsThesis: 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.
Amninder Singh Skills
Amninder Singh Education Details
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University Of California, RiversideEnvironmental Sciences (Soil & Water) -
California State University, FresnoPlant Sciences
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Punjab Agricultural UniversityAgronomy And Agroforestry)
Frequently Asked Questions about Amninder Singh
What company does Amninder Singh work for?
Amninder Singh works for Climate
What is Amninder Singh's role at the current company?
Amninder Singh's current role is Geospatial Data Scientist.
What is Amninder Singh's email address?
Amninder Singh's email address is am****@****ucr.edu
What is Amninder Singh's direct phone number?
Amninder Singh's direct phone number is (888) 900*****
What schools did Amninder Singh attend?
Amninder Singh attended University Of California, Riverside, California State University, Fresno, Punjab Agricultural University.
What skills is Amninder Singh known for?
Amninder Singh has skills like Research, Soil Science, Soil Salinity, Geographic Information Systems, Agronomy, Arcgis, Spss, R, Statistics, Data Analysis, Microsoft Excel, Microsoft Office.
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