Udit Asopa

Udit Asopa

Data Scientist | Geospatial Data Scientist

Brockmann Geomatics Sweden AB

I am a Data Scientist and Geospatial AI Engineer with more than five years of experience developing production-grade Python workflows, machine learning models, and large-scale analytics systems for Earth observation and environmental intelligence. My work combines scientific rigor, software engineering, and applied artificial intelligence to transform complex satellite and operational data into reliable, decision-ready insights.

Across organizations including Brockmann Geomatics and ICEYE, I have built scalable data pipelines, automated validation frameworks, and machine learning solutions supporting disaster response, infrastructure monitoring, and operational analytics. My expertise spans Python, SQL, machine learning, time-series analysis, geospatial analytics, and Generative AI, with growing focus on cloud technologies and MLOps.

I am particularly passionate about solving meaningful problems at the intersection of data science, AI, and Earth observation, whether for environmental sustainability, climate applications, business analytics, or scientific computing.

Download my detailed CV. I am always open to interesting projects, collaboration opportunities, and new challenges. GET IN TOUCH.

Interests

  • Data Science & Machine Learning
  • Earth Observation & Satellite Analytics
  • Geospatial Data Engineering
  • Scientific Software Engineering
  • Time-Series Analysis & Forecasting
  • Artificial Intelligence & Generative AI
  • Python Development & Automation
  • Cloud & MLOps
  • Environmental Intelligence
  • Research Software Engineering
  • Decision Support Systems
  • Scalable Data Pipelines

Education

  • Master of Engineering in Remote Sensing and GIS, 2019

    Indian Institute of Remote Sensing (ISRO), India

  • Post Graduate Diploma in Biomedical Instrumentation and Informatics, 2017

    CDAC, India

  • Bachelor of Engineering in Electronics and Communication, 2016

    Rajasthan Technical University, India

Experience

My professional work experience

 
 
 
 
 

Data Scientist

Brockmann Geomatics Sweden AB

Jan 2026 – Present Espoo, Finland

Designing and maintaining production-grade Python workflows and machine learning solutions for environmental, water, and climate analytics. Integrating multi-source geospatial and Earth observation datasets into reproducible, decision-ready products for major international initiatives including OASIS (Horizon Europe) and AQUATIME (European Space Agency). Strong emphasis on scientific software engineering, data quality, validation, and traceability. (Python, SQL, GeoPandas, GDAL, Rasterio, MLflow, Git, Linux).

Key Professional & Technical Skills
  • Data science & applied AI
  • Earth observation analytics
  • Scientific software engineering
  • Machine learning workflows
  • Time-series analysis
  • Environmental & water analytics
  • Python, SQL, GIS tools
  • Validation & reproducibility
  • Horizon Europe projects

Read more about my work at Brockmann Geomatics

 
 
 
 
 

SAR Remote Sensing Engineer

ICEYE Oy

Dec 2021 – Jan 2026 Espoo, Finland

SAR data processing, geospatial analytics, insight product development, and environmental monitoring using remote sensing. Workflow automation, change detection, trend analysis, and statistical modeling for crisis response. Visual reporting and spatial outputs for decision support. (Python, SAR, QGIS, ArcGIS, GDAL, Power BI).

Key Professional & Technical Skills
  • Remote sensing analytics
  • Geospatial data science
  • Operational product delivery
  • Disaster intelligence workflows
  • Data pipeline engineering
  • Stakeholder collaboration
  • Python, SAR, GIS tools
  • Cloud & API integration
  • Scientific reporting

Read more about my work at ICEYE

 
 
 
 
 

Geospatial Data Analyst

Freelance

May 2021 – Dec 2021 Delft, Netherlands
Web-based geospatial application development, spatial analysis, and environmental monitoring using satellite data. Storytelling with maps, indicator dashboards, and remote sensing analytics for stakeholder engagement. (Google Earth Engine, QGIS, JavaScript, Python)
 
 
 
 
 

Remote Sensing & GIS Researcher

Delft University of Technology

Apr 2020 – Apr 2021 Delft, Netherlands
InSAR time-series analysis, geospatial modeling, and cloud-enabled automation for ground deformation monitoring. Research documentation, training coordination, and reproducible workflow development in a multidisciplinary team. (Python, Bash, QGIS, Sentinel-1, Jupyter)
 
 
 
 
 

Jr. Remote Sensing & GIS Researcher

Indian Institute of Technology

Sep 2019 – Feb 2020 Bombay, India
SAR feature extraction, polar remote sensing, and field-based environmental data collection for cryosphere research. Integration of in-situ snow observations with satellite imagery to support geophysical modelling. (Sentinel-1, RADARSAT, QGIS, Python)

Education

Academic foundation and professional qualifications

Master of Engineering in Remote Sensing and GIS

Post Graduation Diploma in Bio-Medical Instrumentation & Health Informatics

Bachelor of Engineering in Electronics & Communication

Projects

Selected projects spanning Earth observation, geospatial intelligence, and AI-enabled analytics

Vision Text Extractor

A comprehensive CLI tool that extracts text from images and documents using multiple cutting-edge AI providers. Choose from privacy-focused local models like SmolVLM and LLaVA, or leverage high-accuracy cloud-based solutions like OpenAI GPT-4o. Features one-command setup with Pixi, custom extraction prompts, batch processing capabilities, and support for both local files and web URLs. Perfect for document digitization, receipt processing, research paper analysis, and enterprise document workflows with maximum flexibility and data privacy control.
Vision Text Extractor

ICEYE Hurricane Solution

ICEYE’s Hurricane Rapid Impact product provides near-real-time geospatial insights following hurricane landfall, with a focus on populated coastal areas across the USA and inhabited territories. My contributions focused on developing and deploying SAR-based raster analytics and hexgrid-level change detection to support rapid disaster response.
ICEYE Hurricane Solution

ICEYE Wildfire Insights

ICEYE’s Wildfire Insights delivers rapid building-level damage assessments using SAR satellite imagery. I contributed to this product by developing and refining SAR-based change detection methodologies and geospatial damage mapping to support near-real-time wildfire impact analysis.
ICEYE Wildfire Insights

Remote Sensing Applications

I’ve applied remote sensing techniques across a wide range of environmental monitoring projects, from assessing urban heat islands and mapping volcanic deformation with InSAR, to modeling forest structures using LiDAR and developing web-based applications on Google Earth Engine. My work integrates multi-sensor datasets, geospatial analytics, and field validation to produce actionable insights for climate, disaster, and land surface studies.
Remote Sensing Applications

SAR Techniques and Fundamentals

My work in SAR focuses on advancing techniques like polarimetric decomposition, calibration, and 3D tomographic imaging to better characterize land and forest structure. Leveraging datasets from platforms such as UAVSAR and TerraSAR-X, I’ve investigated frequency-dependent scattering, refined PolSAR calibration workflows, and developed vertical profiling methods using PolSAR tomography. These efforts support applications in ecosystem monitoring, geophysical modeling, and the interpretation of complex surface features.
SAR Techniques and Fundamentals

InSAR Applications

My work with InSAR focuses on detecting and analyzing ground displacement using radar remote sensing techniques such as DInSAR and PSInSAR. I’ve developed and implemented workflows for processing satellite SAR data, enabling accurate monitoring of subsidence, tectonic motion, and anthropogenic changes. These efforts have supported environmental and geophysical studies across varied terrains using Sentinel-1 and TerraSAR-X datasets.
InSAR Applications

Publications

Peer-reviewed and conference contributions in remote sensing, geospatial analytics, and Earth observation

Polarimetric calibration of spaceborne and airborne multifrequency SAR data for scattering-based characterization of manmade and natural features. Elsevier, 2021.

PDF Project DOI

Monitoring and modeling land subsidence due to hydrocarbon production integrating geodesy and geophysics. AGU, 2020.

Project

Land Subsidence Monitoring in Jagadhri City Using Sentinel 1 Data and DInSAR Processing. 2nd IECG, 2019.

PDF Dataset Project DOI

Updates

Recent milestones, publications, and professional highlights

What’s New & Updates

Stay updated with my latest professional journey, project announcements, and insights from the world of geospatial analytics and remote sensing.

What’s Been Done & Past Achievements

Explore my professional foundation and past accomplishments that shaped my expertise in geospatial analytics, remote sensing, and emerging technologies. A comprehensive look at completed courses, hackathons, publications, and skill development milestones.

Contact

Open to collaborations, consulting opportunities, and research conversations