Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Describes how the (private) Citi Bike API works

Predicting Citi Bike trip demand and analyzing need for bike rebalancing

Messages you after returning a Citi Bike.

Download your Citi Bike trip data.

An NYC transportation database for analyses

Dashboard creation using Tableau, based on results of an analysis of Citi Bike Ridership in New York City.

Create a tableau story/dashboard showcasing visualizations and insights into the NYC Citi Bike service. Write analysis to support the visuals, and present them in a professional and visually appealing format.

My two-wheeled life in NYC.

Visualized usage of Citi Bike, a bicycle sharing system in New York City.

Data Viz Project

Analyze your Citi Bike user data.

The purpose of the project was to use data from New York City's Citi Bike program and see if it would be possible to recreate the program in De Moines, Iowa using Python and Tableau.

Visualization of CitiBike Trip History during the months of March and April of 2020

Predicting the number of bicycles for re-stocking outside subway stations in New York City at various hours of a day.

Real-time prediction of Citi Bike availability

🚀 A Python repository showcasing optimization techniques for Machine Learning including LP, Newton's methods, LASSO, and convex optimization. 📈🐍