Learn Data Analytics Skills to Forecast and Predict Bike Tickets with Singapore's Hottest Bike Sharing Company  

Remote · A Data Analytics experience with oBike from Singapore


Mentored by Tim

I've been partnering with QLC since the start during my time at LinkedIn and then Uber. I get great satisfaction from working with people willing to learn and expand their horizons.


This experience has limited places. We recommend applying soon.

Hosted by oBike

The market leader for bike sharing in South-East Asia, Australia and Europe. Going beyond just consumer bike sharing, but parnering with companies and governments to transform communities and commutes.


Tim has indicated they're interested in hiring from this project.

Brief

Bikes can at times be parked in areas deemed a nuisance, and they are reported to us by different sources. We want to be able to proactively manage our bike supply to ensure they are placed in relevant locations.


Goals

Milestone 1 - What Is Your Startup Story
Understanding the existing data collection processes and analysis goals. Identify metrics to track, trends to observe and issues to flag. Sanity checks of data.

Milestone 2: What is your data saying?
Decomposition of data set, identifying data trends and loopholes. Insights to be reported with a data dashboard.

Milestone 3: How can we improve data collection?
Identification of loopholes and improvements on data to add value to future collection. Idea generation of future projects based on data insights.



Data Analytics

Hosted by Tim

Data Analytics


Experience:

Remote Project

Length:

6 Weeks

Application deadline:

On Demand

Orientation begins:

in four weeks

Weekly meeting:

Thursday at 5:00pm

Timezone:

SGT (GMT+8)