PhD Researcher · Bengaluru, India

Ryan
Powell L.

GeoAI · Spatial Data Science · MLLMs
Available for remote part-time contracts

Data Scientist. Researcher. Builder. I work at the intersection of Multimodal Large Language Models and Geographic Information Systems — building intelligent systems that give the Earth a voice through data.

Ryan Powell L
3
Degrees in Data Science
2
Published Works
GeoAI
Primary Specialization
PhD
Ongoing — Christ University
// 001 — About

Data Scientist.
Future CEO.

I'm a Data Science PhD researcher at Christ (Deemed to be University), Bengaluru, specializing in the convergence of Multimodal Large Language Models (MLLMs) and Geographic Information Systems (GIS).

My research lives at a rare intersection — where spatial data meets conversational AI. I'm building towards a future where anyone can ask plain-language questions about the Earth and receive intelligent, reasoned answers in real time.

Beyond research, I'm a published technical writer making complex GeoAI and ML concepts accessible. Published on ODSC and IEEE Xplore.

I'm building myself into the greatest data scientist of my generation — specializing in GeoAI, spatial intelligence, and climate data systems. Available for remote part-time contracts.

Status ● Available for Work
Location Bengaluru, India
Role PhD Research Scholar
Institution Christ University
Specialization GeoAI · MLLMs · Spatial DS
Domain Climate & Disaster Intelligence
Work Type Remote · Part-time · Contract
// 002 — Skills

What I Build With.

🌍
GeoAI & Spatial Analysis
Combining AI with geographic data to extract spatial intelligence from the physical world.
GIS QGIS Remote Sensing Spatial Data
🧠
MLLMs & Deep Learning
Research-level expertise in Multimodal Large Language Models and their spatial applications.
MLLMs NLP Deep Learning Machine Learning
🐍
Python & Data Engineering
Building clean data pipelines and analysis workflows for spatial and tabular datasets.
Python Pandas SQL Tableau
🌊
Climate & Disaster Intelligence
Applying GeoAI to flood risk, disaster prediction, and climate pattern analysis using open data.
USGS Data Satellite Imagery Risk Analysis
✍️
Technical Writing
Making complex GeoAI and ML concepts accessible through clear, accurate articles and tutorials.
ODSC Published IEEE Published Tutorials
📊
Data Visualization
Turning raw spatial and statistical data into clear, compelling visual narratives.
Tableau Matplotlib R Geospatial Maps
// 003 — Publications

Published Work.

IEEE Xplore — Peer Reviewed Research
Comparative Analysis of Machine Learning Models and Interpolation Techniques for Seasonal Rainfall Prediction in Tamil Nadu
A peer-reviewed research paper published on IEEE Xplore analyzing and comparing machine learning models and interpolation techniques applied to seasonal rainfall prediction in Tamil Nadu — combining spatial data science with climate intelligence.
IEEE Xplore · 2025 Read Paper →
ODSC — Open Data Science
Where MLLMs Meet GIS — Giving the Earth a Voice
An exploration of how Multimodal Large Language Models are converging with Geographic Information Systems to create GeoAI — a new frontier where spatial data gains a voice, enabling real-time dialogue with the physical world about climate, disasters, and geography.
April 6, 2026 Read Article →
// 004 — Education

The Foundation.

2025 — Present
Doctor of Philosophy (PhD)
Christ (Deemed to be University), Bengaluru
Research: Multimodal Large Language Models × Geographic Information Systems
2023 — 2025
Master of Science in Data Science
Christ (Deemed to be University), Bengaluru
Specialization: Machine Learning · GIS · Deep Learning
2020 — 2023
Bachelor of Science in Data Science & Analytics
Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu
Foundation in Statistics · Python · Data Analytics · Visualization
// 005 — Contact

Let's build
something real.

Open to remote part-time contracts in GeoAI research, spatial data analysis, and technical writing. Based in Bengaluru, working globally. Let's talk.