Tartu smart bikes

Interactive visualization of available bikes and e-bikes at Divvy stations across Chicago via Flask application. Must be run locally to use.

Cleaned/augmented datasets of Bike Share Toronto trip events from 2016 (partial) to 2017, as well as Python scripts used to perform the data engineering.

In this project, I implemented LSTM model to predict hourly Bike Share Demand

🚲 Bike Share Route Planner

Collect and pre-process historical trip data from major bike sharing companies

London Bike Sharing Dataset

Customer Analytics: Explore and analyze data related to bikeshare systems for three major cities

FOSSCON Indego Presentation / Cycling Through The Indego Bike-Share API

This application explores ridership and station usage in Pittsburgh's Bike Share System.

This project demostrates my SQL and Excel skills, tools common for any organization. The datasets were too big to analyse in Excel alone and so I used SQL to do much of the heavy lifting and did visualizations in excel.

Developing a business strategy to meet the demand levels and meet the customer's expectations.

US Bikeshare Project for Udacity - explores user trip data for three cities using anonymized data from first 6 months of 2017.

Hubway Bike Share was a SQLite3 analytics project focusing on traffics of the bike utilizations in each station and across stations. The project also illustrated user patterns and preference to strategize user experience enhancement.

Contains projects needed to complete Udacity's Data Analyst Nanodegree Program

In this project, the dataset provided by Motivate (https://www.motivateco.com/), a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. It is designed to be interactive and allows you to compare usage between three large cities: Chicago, New York City, and Washington, DC.

Capital Bikeshare dock spotter / data retriever. Text-based app for SMS devices.

Data Analysis: Uncover bike share usage patterns in US Cities

A project that aims to estimate the correlation between Guadalajara's crimes and its public bike system. Done as part of the Saturdays.AI program in its Guadalajara 2nd edition.

Having some fun with Capital Bikeshare's data