Capital One Data Science Challenge

Hello!

Thank you for completing the Capital One Data Science Challenge! Please follow the instructions below. Please take 7 days to complete the challenge and indicate in your submission that you are a Intern candidate. When you are finished, please follow these instructions for submitting your results:

?            To maintain anonymity, please include only your Workday ID (C933359)  and initials in your submission materials, including content and file names.

?            If you reference materials/libraries/code found online, make sure to source appropriately.

?            Zip only your work/submission and email the results to DataScienceRecruitingMailbox@CapitalOne.com – and cc me on the email, please do not include the downloaded dataset.

If you have any questions or concerns, please feel free to email the mailbox.

Your submission

At Capital One, you’ll almost always be working with a diverse team, often including business analysts, engineers, product managers, and senior leaders. The ability to not just complete data science work, but also to explain and present your work is important.

With that in mind, please deliver your answers as if you were handing off work to another data scientist joini

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s could eventually be used for real time ride sharing matching.

–            Please explain not only how this can be computed, but how efficient your approach is (time and space complexity)

?            Option D: Anomaly Detection

?            What anomalies can you find in the data? Did taxi traffic or behavior deviate from the norm on a particular day/time or in a particular location?

?             Using time-series analysis, clustering, or some other method, please develop a process/methodology to identify out of the norm behavior and attempt to explain why those anomalies occurred.

?            Option E: Your own curiosity!

?             If the data leaps out and screams some question of you that we haven’t asked, ask it and answer it! Use this as an opportunity to highlight your special skills and philosophies.

Thank you very much for your efforts! We look forward to reviewing your insights!