
Hello,
I’M MIRJAN
M.Sc. in Remote Sensing and GIS
& IBM Data Science Professional Certificate
About Me

Mirjan Ali Sha [Personal Information]
GIS Engineer & Data Scientist
Hi! My name is Mirjan Ali Sha. I have completed my M.Sc. in Remote Sensing & GIS and I have 4+ years of working experience as GIS Engineer specializing in ML-GIS, Satellite Data Analysis, and Geospatial AI. Currently working with cutting-edge technologies including PySpark, Kubernetes, Google Earth Engine, and GenAI tools. I'm passionate about developing innovative GIS solutions and contributing to open-source geospatial community.
Degree : Master of Science (M.Sc.)
City : Bengaluru
Age : 27
Website : https://mirjanalisha.github.io/
Email : mirjan.personal@gmail.com
Phone : +91 xxxxxxxxxx
Experience : 4+ Years
Freelance : Available
Skills & Education
Technical Skills
ArcGIS & ArcGIS Pro
QGIS & Plugin Development
Python & PySpark
Google Earth Engine & JavaScript
AWS S3, Athena, ECR & Kubernetes
PostgreSQL (PostGIS) & GeoServer
TensorFlow & Machine Learning
GenAI Tools (Transformers, Ollama, OpenWebUI)
Education & Certifications
2018-2020
M.Sc. in Remote Sensing and GIS
Vidyasagar University - CGPA: 8.44. Specialized in Remote Sensing Data Analysis, GIS Works, WebGIS, Geospatial Analysis, and R Programming.
2019-2020
IBM Data Science Professional Certificate
IBM Skills Network (Coursera) - Completed 9 comprehensive courses covering Python, Machine Learning, Data Visualization, and Statistical Analysis.
2022-2023
Business Analytics Certification
IIIT Bangalore (UpGrad) - 6 months intensive program covering Business Analytics, Data Mining, and Advanced Statistical Methods.
2020-2021
Geographic Information System Specialization
UC Davis University (Coursera) - 5 courses covering GIS concepts, Spatial Analysis, and Cartographic Design.
Corporate Experience
May 2022 - Present
GIS Engineer (ML-GIS Department)
Nurture (AFS) Agtech Pvt. Ltd, Bangalore
• Developing advanced geospatial solutions for Burn Detection,
Tillage Detection, and Bailing Detection using satellite imagery
• Building end-to-end ML pipelines from raw MSI/SAR tile data to database insights using
PySpark and cloud technologies
• Working with Big Data infrastructure: AWS S3, Athena Query, ECR, Jenkins, Kubernetes,
Spinnaker, and Azure Databricks
• Implementing Carbon Credit sustainability projects using Python, Google Earth Engine,
and
QGIS
Tools: PySpark, AWS Suite, Kubernetes, Google Earth Engine, QGIS,
Jenkins,
GitLab, Docker
Sep 2021 - Mar 2022
GIS Engineer
SkyMap Global Pvt. Ltd, Kolkata
• Led Administrative Mapping Project involving village-level
administrative layout creation
• Developed three-tier administrative boundary systems and managed large-scale database
updates
• Implemented quality control processes for spatial data validation and accuracy
assessment
Tools: ArcGIS, Spatial Database Management
Mar 2021 - Sep 2021
GIS / CAD Engineer
Aabsys IT Pvt. Ltd, Bhubaneswar
• Executed Navigation Mapping Project for city-level road and
administrative boundary extraction
• Developed automated validation systems using surveyed geotagged photos
• Created custom ArcGIS Python tools and ModelBuilder workflows to optimize team
productivity
Tools: ArcGIS, AutoCAD Map 3D, Python Toolbox, ArcGIS ModelBuilder, Zoho
Project Management
Jan 2020 - Aug 2020
Research Scholar (Dissertation)
Vidyasagar University, Medinipur
• Conducted research on "Crop Identification and Yield Estimation
Using Sentinel-1 & 2 on Google Earth Engine"
• Supervised by Dr. Dipanwita Dutta, Assistant Professor
• Developed machine learning models for agricultural monitoring using multi-spectral
satellite data
Tools: Google Earth Engine, JavaScript, Statistical Analysis
Services
Geospatial Analysis
Advanced spatial data analysis using satellite imagery, drone data, and GPS datasets. Specializing in agricultural monitoring, environmental analysis, and urban planning with WebGIS solutions using GeoServer, PostgreSQL (PostGIS), and cloud platforms.
Small Tools or Plugin Development
Developing custom tools and plugins for ArcGIS, QGIS, and Google Earth Engine. Creating automated workflows using Python, JavaScript, and R for enhanced productivity in geospatial analysis and data processing.
Python Package Development
Creating and maintaining Python packages for geospatial data access, analysis, and automation. Published packages include open-geodata-api, astrokundali, and ai-research-planner available on PyPI with comprehensive documentation.
Satellite Data Downloading Pipeline Development
Building automated pipelines for satellite data acquisition, processing, and analysis using cloud infrastructure. Experience with Sentinel, Landsat, and commercial satellite data through Google Earth Engine, AWS, and Azure platforms.
GenAI Development
Developing AI-powered solutions using modern frameworks including Transformers, Hugging Face, Ollama, OpenWebUI, and MCP (Model Context Protocol). Specializing in geospatial AI applications and intelligent data analysis workflows.
Data Science & AI Modeling
Developing and training machine learning models for geospatial applications, agricultural monitoring, and environmental analysis. Using TensorFlow, PySpark, and cloud-based ML platforms for scalable AI solutions.
Portfolio
Open Source Contributions & Professional Projects










Latest Blog

PCA Using GEE
Principal Component Analysis (PCA) is a useful technique for exploratory data analysis, allowing you to better visualize the variation present in a dataset with many variables.

Ship Detection Using GEE
A system is proposed to automate the detection of presence of ships in the given image using Machine Learning and Deep Learning Algorithms.

Surveying App Using WebGIS
This app created using OpenLayers, GeoServer, PostgreSQL and JavaScript etc. This app create different features of the survey place.
Get In Touch
Let's discuss your next GIS project or data analysis needs