On-demand S3 caching of Google Spreadsheets for Tabletop.js, in Python

Classification and analysis of post-storm response imagery

Tropical cyclone intensity change forecast graphic aid

Deep Reinforcement Learning for Hurricane Path Prediction

Unified data sets that summarises the relevant variables (for my Master’s Thesis) of each analysed tropical-cyclone using data from the HURDAT2 and the HadISST1

Deep reinforcement learning for hurricane path prediction.

Comparing a customised CNN model and Pre-trained MobileNetV2 on image classification of Damaged Houses during a Hurricane

Hurricane impact analysis pipeline that processes storm envelope data to generate geospatial impact views for schools, health centers, population, and infrastructure. Uses giga-spatial for geospatial processing and generates risk assessments by wind speed thresholds.

Different Analyses on the effect of Hurricane Maria on the mortality rate on the municipalities of Puerto Rico

Data journalism project on power access across income levels in Gainesville, Florida in the wake of Hurricane Irma.

Project that illustrates how to create a new ggplot2 geom in R.

Computer.org Contest of the year 2004 to visualize hurricane Data, implemented using matplotlib

Convolutional Neural Network with PyTorch over Post Hurricane Images

Jupyter Notebook showing my solutions to questions related to sample Category 5 Atlantic Hurricane Data. The data covers the years from 1928 to 2018.

Multi-stage Stochastic Programming for Integrated Network Optimization in Hurricane Relief Logistics and Evacuation Planning

Deep reinforcement learning for hurricane path prediction.

The Effect of Global Warming on Hurricane and Typhoon Occurrence

A RESTful Flask server that returns JSON data of ATCF storm data.

A Python parser for the a-deck data posted online by the Automated Tropical Cyclone Forecasting System