Machine Learning Gis Analyst
Resume:
Aliasghar Bazrafkan
GIS, Remote Sensing, and Machine Learning Specialist
Profile
Innovative researcher and GIS analyst
with over 10 years of industrial and aca-
demic experience in remote sensing, GIS,
and Python scripting. Expertise in geo-
processing, spatial analysis, and auto-
mated workflows. Skilled in develop-
ing geospatial tools and methodologies
in ArcGIS Pro for hydrology, precision
agriculture, and hyperspectral imagery.
Proven ability to create scalable solu-
tions for environmental challenges and
enhance decision-making through data-
driven insights. Published author and
experienced presenter with a strong com-
mitment to innovation and collaboration.
Details
Phone: +1(701)729–9088
Email: *********.*********@****.***
Key Skills
Technical Expertise
– Geoprocessing: Tool Development, Data Packaging, Python Scripting
– GIS: ArcGIS Pro,ArcGIS Online, QGIS
– Remote Sensing: Satellite & UAS, Image Analysis
– Machine Learning: Random Forest, XGBoost, ANN
– Climate Data Integration: Google Earth Engine
– Aerial Imagery Processing: LiDAR and Hyperspectral Data Processing
Software & Tools
– Programming: Python, R, Java script, HTML
– GIS Tools: ArcGIS, QGIS
– Remote Sensing Tools: ENVI, GDAL,
– Machine Learning Frameworks: TensorFlow, Keras, Py- torch
– Hardware: Drone Piloting (Licensed FAA Part 107) Employment History
Remote Sensing Researcher
North Dakota State University
June 2022 – Present
– Developed Python-based geoprocessing tools in ArcGIS Pro for hydrological modeling and precision agriculture, improving data analysis efficiency.
– Integrated UAS imagery with satellite data to enhance plant breeding programs, reducing processing time by 50%
– Conducted geoprocessing and feature extraction from hyperspectral imagery to support agricultural and environmental management.
– Led the development of automated decision-making for big datasets, cutting decision time in half.
– Reduced weed detection processing time to 10 minutes for a 16-acre corn field. GIS Specialist - Internship
North Dakota State University—– Statewide Irrigation Feasibility Study May 2024 – Present
1
– Created soil irrigability maps using geoprocessing tools, identifying over 17 million acres for potential irrigation projects.
– Automated data packaging workflows in ArcGIS Pro, increasing the accuracy of land suitability as- sessments.
GIS and Remote Sensing Specialist
Fars Province Agricultural Organization
January 2014 – June 2022
– Developed an agricultural atlas using Landsat and Sentinel-2 imagery, improving crop estimation accuracy by 30%.
– Designed soil salinity maps using Landsat and Sentinel-2 imagery with 89% accuracy.
– Conducted satellite image analysis for crop yield prediction and erosion monitoring. Watershed Manager
Fars Province Natural Resources Organization
January 2012 – December 2014
– Designed and implemented spatial workflows for hydrological modeling, achieving an 89% accuracy in forest risk zoning.
– Automated data extraction and conversion workflows for watershed management projects, enhancing project delivery efficiency.
Education
Ph.D. in Natural Resources Sciences
North Dakota State University
June 2022 – April 2025
M.S. in Natural Resources Engineering
Yazd University
January 2010 – January 2012
B.Sc.in Natural Resources Management
Gonbadkawoos University
January 2008 – January 2010
A.S.in Natural Resources Management
Ferdowsi University of Mashhad
January 2006 – January 2008
Professional Certifications
– Licensed Drone Pilot (FAA Certified)
– Advanced Python Programming for Geospatial Applications Portfolio Link
My Work Portfolio
Professional Profiles
GitHub
Google Scholar
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