Scouting report
Cayman geospatial-AI researcher building Python and Jupyter ML prototypes
assessed from open-source footprint
A PhD candidate in Geospatial AI working in Python and Jupyter, with nine original repos and a small follower base. Original prototypes include a real-time browser-based Flood Monitor app and an automatic bus-arrival monitoring system, reflecting an applied geospatial and climate focus. Activity is light (4 commits last year, ~78% abandoned ratio, no stars), so this reads as an academic research portfolio rather than shipped production work.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Climate & Sustainability
Signal breakdown
0
9
10% forks
4
4.9 yr
1
Active
78% stale
Strengths
- Verified author — wrote 100% of commits on flood-monitor-app
- Original builder — 9 of their own repositories
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & Climate & Sustainability
- Core stack: Jupyter, Python
About
Skills
- Jupyter
- Python
- Github Config
Featured work
Flood Monitor App
A real-time flood detection app you open on your phone browser while driving. It uses your phone's rear camera to watch the road and shows two things…
- Python
by Mark Codling
ABMSBusTracking
Automatic Bus Monitoring System- Arrival Time
- Jupyter
by Mark Codling
Climate Weather
Temperature
- Jupyter
by Mark Codling
Diabetes 130 US Hospitals For Years 1999 2008 Data Set
Diabetes 130-US hospitals for years 1999-2008 Data Set
- Jupyter
by Mark Codling
COMP 6940 Big Data Analytics Assignment 2
COMP 6940- Big Data Analytics Assignment 2
- Jupyter
by Mark Codling
Predict My Sleep Patterns
In this project, the goal is to predict daily sleep hours using a time series
- Jupyter
by Mark Codling