Modeling a Pendulum

2017-12-27T00:43:36+00:00

I plotted a 10 meter long Foucault Pendulum (one that swings in both the x & y directions) with respect to the earth’s rotation in Quebec Canada by using C and its standard libraries. I took the second-order equations to obtain velocity and I used that to determine by how many x & y

Modeling Ecological Networks

2017-12-27T00:43:57+00:00

Invasive species are disrupting ecosystems everyday. The best way to curtail that is by understanding our ecosystem. That’s difficult, but with the help of a model, we can predict how new organisms effect our ecosystem and as a result, make improvements more effectively. In my undergrad research project with Stockton Professor Jason Shulman, we

Will Reddit buy Pizzas?

2017-12-27T00:44:08+00:00

In this Kaggle.com project, I wanted to predict the probability of Reddit’s Random Acts of Pizza group giving a free pizza in regards to its history of requests. This project was one of my first introductions in analyzing text for Machine Learning. If I were to do this again, I probably would try to

How reliable is NYC’s Subways?

2017-12-27T00:44:12+00:00

With NYC Subway Data from 2009-2011, I analyzed each subway line to derive conclusions regarding on-time performance & reliability. I parsed several CSV files and by using Numpy & Sklearn, generated data which I plotted using Bokeh, an interactive visualization tool for plots. While doing this project, I chose to stick to standard Python

Gun Shootings vs. Laws

2017-12-27T00:44:17+00:00

With all of the mass shootings in the news, we’re hearing a lot of talk whether gun laws actually help. In this side/beta project, I wanted to investigate if there are any correlations between types of gun laws and their effects on shooting on a state-by-state basis. The tl;dr conclusions from this project are:

Go to Top