Hack the Pearl is an NYU Shanghai student-run Hackathon where we implement different themes of hackathons in order to broaden our community to support a plethora of different disciplines.
Eligibility
You must be an NYU Student that is currently attending the NYU Shanghai campus in order to participate.
Requirements
As the data to the HSBC dataset is private, this devpost is devoted for the documentation of experience that you experience from this hackathon. Please make sure to document what lessons you learned, events/workshops you liked, and more! Participants must be in groups of 2-3 people MANDATORY.
Prizes
Top 5 Winners
Participants who are in the top 5 teams will be forwarded to Round 2 to present their data model to HSBC China in the following weeks. The top winning group will be offered with HBCN internship opportunities in 2019
"Best Educated"
the top team whose group attends the most amount of workshops and show activity of the event will be given reward in participation.
Full Analysis
Prior to the predictive modeling, the team with the most analysis in the data that derives more details that are analytical will be awarded a reward. The analysis could be for example simplification of the data, getting rid of seasonality, or other analytical processes that make the data more clear.
Efficient Code
The group with the cleanest code in the hackathon will be given an award. We are looking to see that the code has no unneeded parts to it, has comments that are clear on what functions/models/reasoning you are using.
Devpost Achievements
Submitting to this hackathon could earn you:
How to enter
Go to https://www.hackthepearl.com/ to register.
Judges
Jason Jiang
HSBC
Judging Criteria
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Accuracy of the data
A dataset of HBCN will be provided, and HBCN judges will be looking at how accurate the participant's model is in forecasting customer's likelihood of subscribing investment and insurance products in the following 3 months
Questions? Email the hackathon manager
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