Hello everyone! Excited to join the AI/ML Analysis Working Group

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Hello everyone! Excited to join the AI/ML Analysis Working Group

Hi everyone,

I’m Soujanya, and I’m excited to join the AI/ML Analysis Working Group.

I have a background in Computer Science and am currently expanding my expertise in Data Science and Machine Learning. My experience includes Python, SQL, data analysis, data visualization, and building machine learning projects.

I’m passionate about applying AI/ML to scientific and space-related datasets, with interests in space biology, astronomy, Earth observation, and interdisciplinary research. I’m eager to explore how data-driven approaches can contribute to scientific discovery and open science.

I joined this community to learn from researchers, collaborate on open science initiatives, and contribute to meaningful AI/ML projects. As a new member, I’m looking forward to exploring OSDR datasets, participating in discussions, and contributing wherever I can.

If there are any beginner-friendly projects, resources, or opportunities to get involved, I’d greatly appreciate your guidance. I look forward to learning from this community and collaborating with all of you.

Thank you, and I’m excited to be here! @AIMLawg

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Hi @pittala_soujanya

Would be great to have you introduce yourself at the next AIML AWG meeting, give an overview to your previous R&D - @frank.soboczenski @vaishnavi.nagesh @james.casaletto (these are the AIML AWG leads)

Excited to hear if you have any ideas on data usage from OSDR/Genelab:

Data Dashboard for the Bio data: https://visualization.genelab.nasa.gov/data/

BioData API: https://visualization.osdr.nasa.gov/biodata/api/

Environmental Data App (which has its own API): https://visualization.genelab.nasa.gov/data/

RadLab (which has its own API): https://visualization.osdr.nasa.gov/radlab/gui/overview/

Or ways to tie these data into terrestial datasets, analysis approaches

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