Hello!

I'm Deep Rabadiya



A GIS and Remote Sensing Analyst

My works

Name: Deep Rabadiya

Job Role: Geospatial Data Analyst, GIS Analyst, GIS and RS Analyst

Experience: Assistant GIS and RS Manager
[SBI General Insurance
New Delhi]
[Jan 2025 - Present]

RS and GIS Analyst
[Semantic Technologies and Agritech Services Pvt Ltd
Pune, Maharashtra]
[3 Months]

Address: New Delhi, India

Skills

PYTHON 85%
GIS SOFTWARES 80%
Data Visualization 85%
Statistical Analysis 85%
Machine Learning 80%

About

About Me

I am Deep Rabadiya, a Geospatial Data Analyst specializing in Remote Sensing and GIS with a Master’s in Geospatial Data Science from DAIICT, IIRS–ISRO, and AAU. My expertise includes Python, Machine Learning, Deep Learning, Google Earth Engine, SQL, Database Management, Advanced Excel, and Web GIS, with strong skills in geospatial data processing, modeling, and visualization. Passionate about applying geospatial intelligence to real-world challenges, I am eager to collaborate on projects in remote sensing, GIS, data analytics, and database-driven applications to create impactful solutions.

  • Profile: Geospatial Data Science
  • Domain: GIS & Remote Sensing
  • Education: Masters in Geospatial Data Science
  • Language: English, Hindi, Gujarati
  • Other Skills: Python, Machine Learning, Deep Learning, Google Earth Engine, Erdas Imagine, ArcGIS, QGIS, SNAP, Envi, SQL & Libraries (gdal,Rasterio,geopandas,openCV,Pandas,Numpy,Matplotlib)
  • Interest: Playing kho-kho, Traveling

0 +   Projects completed

LinkedIn

Resume

Resume

Resume

Education


2023-2025

M.Sc. Geospatial Data Science

DAIICT

Grade: First class distinction.

2024

M.Sc. Second Semester

IIRS-ISRO

Grade: First class.

Projects

Projects

Below are some projects related to Remote Sensing, GIS, Python, and ML.

Web GIS (Web Mapping Of Ramsar Sites of India)

Developed a Web GIS platform for mapping Ramsar Sites of India using GeoServer, PostgreSQL/PostGIS, QGIS, HTML, and JavaScript for interactive visualization and spatial querying.

Image Classification using CNN

Tomato Leaf Disease Classification using VGG16 – fine-tuned a pretrained VGG16 model to classify 10 disease classes. Used OpenCV preprocessing and data augmentation for improved accuracy.

Land Cover Change Detection (Deforestation)

Implemented deforestation change detection using multi-temporal satellite imagery in Python. Applied a Random Forest classifier on spectral features to classify land cover and map deforested areas.


Price Forecasting for Tomato

Forecasted tomato prices using 14 years of historical data with models like ARIMA, SARIMA, ARIMAX, SARIMAX, ARCH, GARCH, VAR, and VARMAX in Python.

Crop Recommendation System

Built a crop recommendation tool using PostgresML, Streamlit, and ML algorithms to suggest optimal fruit crops based on soil nutrients, moisture, temperature, and environmental factors.

Crop Yield Estimation

Developed a stacking ensemble ML model and a semi-physical model integrating satellite-derived biophysical parameters (fAPAR, PAR, water/temperature stress) with field data for accurate yield estimation.

0 + Certifications
0 + Projects
0 Year Experience

Contact

Contact Me

Below are the details to reach out to me!

Address

New Delhi, India

Contact Number

+ 91-9510108275

Email Address

deepp6603@gmail.com

Download Resume

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