PyData Helsinki at UpCloud

PyData Helsinki will meet at UpCloud's office!

Schedule:

16:30 Doors open
17:00 Welcome words from UpCloud
17:10 Seija Sirkiä: NPS - Not Proper (data) Science?
17:40 Touko Väänänen: Choosing projects under uncertain preferences for impacts
18:10 Break — food, drinks, networking
18:45 PyData Helsinki quiz
19:00 Alexander Kevin Gilbert: Learning Data Engineering (not) from scratch
19:30 End of programme
20:00 Continue at a nearby bar

Talks:

• Seija Sirkiä: NPS - Not Proper (data) Science?
  Everybody agrees that Net Promoter Score is not quite as magical as it's made to sound like, but there's still plenty you can do with that data. In this talk I will show what I learned about that while working at HappySignals, including a model that cleans the scores of subgroup effects, such as culture/country.
• Touko Väänänen: Choosing projects under uncertain preferences for impacts
  Many choice situations involve choosing a subset of possible projects with several types of impacts. Choosing between the projects introduces trade-offs between the impacts that decision makers disagree about. I present a framework which helps in assessing robust projects that would be chosen with many preferences over the impacts.
• Alexander Kevin Gilbert: Learning Data Engineering (not) from scratch
  A PhD in physics and big data analysis experience at CERN might seem irrelevant when applying for a data engineering job, as the tools are completely different. But the two worlds are more connected than they appear. Join me as I explore those connections and share what I've learned along the way.