arctic-panther

Creates optimal small-groups of data scientist

This repo administers the Pair DS events.

1. Create weekly events (TODO - implement an API call)
2. Sends out survey reminders to people that are RSVP'd for an event, but that haven't take the survey.
3. Creates Pairs using a matching algorithm (TODO - improve this!!)
4. Sends out notifications to pairs.
5. Gives each participant a report about their pairing (TODO - write a report)

Here's how it works:

• Core - Data models and simulators
  • User class - Container for user data
    • user_id from Meetup
    • gender, career stage, etc
    • self-reported geography (Likert class)
    • self-reported skills/tools/methods (Likert class)
    • preferences (Likert class)
  • Likert class - Dictionary holding lists holding survey data
  • Simulator class - Lets you test stuff out without real data
  • Config class - Holds configuration settings to access APIs, etc
• Pair - Pair data science
  • Main class - Drives the pair data science process
  • Matchers - Chooses the matches given an algo and set of users
    • Matcher Abstract class - Matches users given a set of users
    • GeogMatcher class - Matches users based on geography (called from Main)
  • Messages class - Sends messages from Meetup
  • Text class - Holds the text that's send in various messages
  • Parsers - Grabs data from various sources
    • Parser Abstract class - Grabs and parses data
    • APIParser - Grabs and parses data from SurveyMonkey API
    • TextParser - Grabs and parses data stored in text files