2. Demonstrate my
knowledge of Python (I also know some R! See Prezume/Cover letter for
more info)
Knowledge of Excel
understanding of marketplace
analytical capabilities
3. Perceived as top player in crowdfunding
(behind Kickstarter)
Goals:
Obtain inception to date project data
From data, draw gain insights of market
position, audience tendencies, project metrics
Present findings in a consumable, actionable
format with recommendations
4. Extract data from website by creating a script
based on the following methods/tools:
Python 3.2
URLLib
LXML Module
Regular Expressions
5. Over 16,000 rows of data extracted
Fields extracted:
◦ Project title
◦ Project category
◦ $ Raised
◦ % of funding goal reached
◦ Time left (for closed projects, time left = 0)
6. Avg $ contributed to
successful projects, ie most Results Metrics for categories where
its difficult to raise money.
profitable categories
Opportunities!
7. Despite many projects receiving
funding over $50,000, nearly all
of them started with funding
targets much less than what they
ended up receiving.
8. Target underserved (yet profitable)
categories:
◦ Sports, Design, Technology, Politics
The most successful campaigns nearly always
start with modest funding goals. Perhaps
there’s some psychology at play here?
