profile

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

open-geodata-api

open-geodata-api

PyPI Package for accessing global geodata

ai-research-planner

ai-research-planner

AI-powered research planning tool (In Development)

astrokundali

astrokundali

Vedic Astrology calculations in Python

band-stacker

Band Stacker

QGIS Plugin for raster band operations

clear-null-geometry

Clear Null Geometry

Cleans invalid geometries in QGIS

crs-finder

CRS Finder

Coordinate Reference System search tool

export2kml

Export 2KML

Enhanced KML export functionality

mosaic-tool

Mosaic Tool

Advanced raster mosaicking plugin

supervised-classifier

Supervised Classifier

Machine learning classification plugin

unsupervised-classifier

Unsupervised Classifier

Automated clustering for raster data

Latest Blog

Responsive Web Design
4 April 2020

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.

Tags : GEE, JavaScript

Creative Slideshow
24 May 2020

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.

Tags : GEE, javascript

Image Gallery Lightbox
20 Jun 2020

Surveying App Using WebGIS

This app created using OpenLayers, GeoServer, PostgreSQL and JavaScript etc. This app create different features of the survey place.

Tags : javaScript, GeoServer, OpenLayers

Get In Touch

Let's discuss your next GIS project or data analysis needs

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