My Location
Wilcox Hall, University of Washington
Seattle, WA 98105
Scientist
Data Scientist working at the intersection of geospatial analytics, remote sensing, and environmental systems - Building data-driven solutions for real-world impact.
0
Years Experience
0
Papers Published
0
Citations
Geospatial Analysis
Machine Learning
Open-Source
Development
Development
Data Science
Highlights
The impact so far
Selected Highlights
Portfolio
The Work so far
- All Projects
- AI / ML
- Software
- Datasets
- Visualization
Core Technical Skills
The tools I use
Machine Learning & AI
Statistics / Predictive Modeling
Deep Learning / Computer Vision
LLMs & Agentic AI Tools
Geospatial Data Science
Remote Sensing / Satellite Imagery
Hydrological Modeling
Environmental Data Analysis
Cloud & Development Tools
Azure ML, Google Cloud
Conda, Docker & Git
Python & HTML/CSS/JS Development
Data Visualization & Design
Dash, D3.js, Plotly, Streamlit
Tableau & PowerBI
Figma & Illustrator
Applied Expertise & Impact
Applying data science and geospatial analytics to solve complex, real-world problems in environmental systems.
6+
Years Experience
10+
Projects
15+
Collaborators & Stakeholders
Top Skills
Python
Machine Learning
Satellite Remote Sensing
Data Analysis
About
The story so far.
True progress is when science serves not curiosity alone, but compassion for the world we live in.
Hi, I'm Sanchit
“Data is the new oil,” they say. But beyond oil lies an even more essential resource: water. This duality between luxury and necessity has shaped my journey from geophysicist to hydrologist, and ultimately, to Geo-Data Scientist.
Geophysicists interpret gravity, magnetic, and seismic data to reveal the Earth's hidden layers, much like data scientists extract insights from raw information. Over time, I realized that while we often look deep below the surface, the most critical systems—air and water—exist all around us, quietly sustaining life. This shift in perspective led me to combine geoscience with data science to better understand and manage these essential resources.
Water, in particular, reflects a balance between movement and stability. Through remote sensing, machine learning, and geospatial analytics, I aim to bring that same clarity into my work—developing data-driven solutions to support decision-making for a sustainable future.
In this journey, the role of a Applied-Data Scientist emerges not only as a profession but as a calling, rooted in the belief that combining domain knowledge with data science skills can create real-world solutions that drive meaningful change and promote sustainability.
Geospatial Intelligence
Integrating Earth observation and spatial analytics to translate data into actionable environmental insight.
Data Science
Applying statistical and machine learning approaches to model and predict Earth system dynamics.
Remote Sensing
Leveraging satellite imagery to monitor environmental change and inform sustainable management of Earth's resources.
2026
Expected to graduate with a Ph.D. in Civil and Environmental Engineering from the
University of Washington, specializing in Data Science.
2022
Joined the SASWE Research Lab as a
Graduate Research Assistant, working on hydrology and remote sensing.
2020
Completed Integrated M.Tech in Geophysics from the Indian Institute of Technology (IIT) Roorkee.
✍️
When I’m not analyzing data, I’m capturing ideas through poetry and storytelling.
Publications
Peer-reviewed articles and magazine features.
Resume
The Path That Shaped Me
Professional Journey
Charting the steps that shaped my career
Graduate Research Assistant
SASWE Research Group
Advancing water management using satellite remote sensing and data science, and collaborating with stakeholders to translate research into real-world, actionable impact.
- Developed a scalable, robust, efficient and user-friendly software architecture for satellite-based reservoir monitoring called "Reservoir Assessment Tool (RAT 3.0)".
- Delivered training and provided assistance to NASA USAID SERVIR SEA, Mekong River Commission and Bangladesh Water Development Board in adapting RAT 3.0.
- Curated first-of-its-kind global reservoir sedimentation dataset called "GRILSS".
- Developed a globally scalable machine learning framework called RECLAIM to predict reservoir sedimentation and capacity loss from satellite observations.
Data Geo-Scientist
Schlumberger Limited
Enhanced the Kuwait Database Management System using C for back-end development, built a predictive search demo for Schlumberger’s geoscience cloud platform, and developed a Python-based reporting utility to automate formatted management reports.
Graduate Engineer Trainee - Digital Team
Cairn Oil and Gas - Vedanta Limited
Implemented Cairn’s Azure Machine Learning platform and trained business users, built ML models for reservoir permeability prediction, led cloud migration of geoscience applications and seismic data, and designed an RNN-based approach for forecasting oil production.
Academic Excellence
Educational roots of my expertise
PhD in Civil Engineering with Data Science
2024 - 2026University of Washington
Leveraged data science and remote sensing for actionable hydrology solutions, building resilience, patience, and problem-solving skills through stakeholder-driven research.
Masters in Civil Engineering
2022-2023University of Washington
Earned Master’s in Civil and Environmental Engineering, specializing in Satellite Remote Sensing and Hydrology for water resource management.
Integrated M. Tech. in Geophysical Technology
2015 - 2020Indian Institute of Technology (IIT) Roorkee
Graduated with Departmental Gold Medal and Annual Excellence Award.
Contact
To Begin Conversations and Bridge Connections
Contact Info
I’m always happy to connect about research, industry opportunities, or collaborative work.
Phone Number
+1 (206)-436-9521
Email Address
msanchit@uw.edu
sanchitminochaiitr@gmail.com
Get In Touch
Whether you're interested in hydrology, remote sensing, climate modeling, or data science, feel free to send a message.