Storm Classification (ML & Deep Learning)
ML/DL models classifying sea state and storm severity using atmospheric and oceanographic data.
My main interests and areas I actively work on.
Time-series analysis, deep learning, and big data processing.
Kubernetes, Docker, CI/CD, and scalable systems.
Algorithms, data structures, and clean code principles.
My most recent and notable projects.
ML/DL models classifying sea state and storm severity using atmospheric and oceanographic data.
Passenger behavior analysis from large-scale telemetry data. CPU (Dask) vs GPU (RAPIDS cuDF/cuSpatial) comparison.
ML/DL models classifying sea state and storm severity using atmospheric and oceanographic data.
Passenger behavior analysis from large-scale telemetry data. CPU (Dask) vs GPU (RAPIDS cuDF/cuSpatial) comparison.
Project progress and announcements.
My personal site for sharing projects and updates is now live.
Completed storm classification project using ML and Deep Learning models.
GitHubMy personal site for sharing projects and updates is now live.
Completed storm classification project using ML and Deep Learning models.
GitHub