Skip to content
View sjabarnia's full-sized avatar

Block or report sjabarnia

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sjabarnia/README.md

Hi there 👋

This is Shiva - I am a Data Scientist with Nearmap working on some cool projects!

  • Most recently I have started a project to look at how wildfires spread, this is a small piece of a larger initiative we are running in Predict and Prevent, where our peril scores help clients get ready for dealing with different natual hazaards, from wildfires to hail, wind and hurricanes!

  • I’m currently taking the MIT data science course to improve my understanding of the fundamentals... and oh boy am I learning something new every day! While it's a lot of work, I am very happy to have started my 2025 with this awesome course.

  • I’m looking to collaborate on any thing related to wildfires and other natural perils! if you have an idea or a project in mind, please reach out - maybe we can help each other!

  • How to reach me: [email protected] or www.shivajabarnia.com, happy to chat anytime!

PS: Check out this white paper around our Hurricane score! https://betterview.com/hubfs/downloads/Betterview_WP-003_Hurricane-Risk.pdf?hsLang=en

Popular repositories Loading

  1. sjabarnia sjabarnia Public

    personal tests and work

  2. pandas pandas Public

    Forked from pandas-dev/pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Python

  3. geoai geoai Public

    Forked from opengeos/geoai

    GeoAI: Artificial Intelligence for Geospatial Data

    Python