At the point when we started this project, election week is coming up. There was so much excitement in the air on who is the next US president to be elected. There were thousands of articles on who's leading the polls. The US election has been trending on most, if not all, social media platforms. Being Data scientists, we wonder if it would be p…

We use the BERT language model for Twitter sentiment analysis leading to the US 2020 presidential elections. We investigate if sentiment analysis can provide an indication of the outcome of the results using canonical LSTM and BERT language model.

GUI stuff

Sentiment analysis of Joe Biden's and Donald Trump's tweets.

In this project, we take a deep dive into Trump and Biden’s Twitter followers. By utilizing data visualization techniques, entropic analysis, and machine learning modeling, we investigate the polarization between Trump and Biden followers, predict who a Twitter user is most likely to follow based on the accounts they follow, and analyze other si…

2020 Election poll updates

Visualizing the flow, duration and cross-talk from the first 2020 Presidental Debate.

Leveraging dynamic programming to calculate the minimum number of people needed to be convinced to win the US Election.

If you're a student, figure out where your vote counts more in 2024: your home state, or your school state.

My very own personal website. Basically this is just a résumé.

Content for the Biden Campaign / Administration Nostalgia Bot

What does 56K worth of Tweets gathered since 2008 tell us about Trump, Obama and Biden?

Group Project - Visualizing Uncertainty, Spring 2022 (Parsons, The New School)

Proyecto desarrollado para la asignatura "Tipología y Ciclo de Vida de los Datos" de la Universitat Oberta de Catalunya.

The vs. Trump fund -- a political donation strategy to make sure Trump never sees the inside of the White House again