About us
For inquiries (speakers, sponsors, co-organisers), contact us via the HelPy Discord. See also: https://pydata-helsinki.github.io/
This meetup is for those who work or aspire to work in fields like machine learning, data engineering, MLOps, visualization, and statistical modeling. We share real-world experiences about solving problems in these fields using open-source tools, including but not limited to Python and its libraries – users of R, Julia or other languages are welcome.
We welcome speakers to talk about these tools and experiences using them, regardless of the level (beginner, intermediate, advanced are welcome). The usual talk is about half an hour long, but lightning talks of 5–10 minutes are great too! Occasionally we will include a debate! Come with a thought-provoking question or a hot take, and we'll set up a discussion where everyone can take part.
Please follow the PyData Code of Conduct.
Featured event
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.
Upcoming events
3
PyData Helsinki at UpCloud
UpCloud, Aleksanterinkatu 15b, 7th floor, Helsinki, FIPyData 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 barTalks:
- 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.
76 attendees- Seija Sirkiä: NPS - Not Proper (data) Science?
- Network event
PyData & PyCon Yerevan 2026
Location not specified yet354 attendees from 112 groups📢 𝗣𝘆𝗗𝗮𝘁𝗮 & 𝗣𝘆𝗖𝗼𝗻 𝗮𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿
This is happening!
📍 Yerevan
📅 July 24 - 25, 2026Now in its second edition, PyData & PyCon Yerevan 2026 brings PyData and PyCon together to gather the local and global data, research, and Python community in Yerevan.
Led by the American University of Armenia and the AUA Akian College of Science and Engineering, the conference creates a shared space for learning, exchange, and collaboration.
Days full of talks, discussions, and people from different backgrounds in one place.👉 𝗗𝗼𝗻’𝘁 𝗺𝗶𝘀𝘀 𝗮𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝗮𝗻𝗱 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗳𝗼𝗿 𝘂𝗽𝗱𝗮𝘁𝗲𝘀 𝗮𝘁 https://pycon.am/
𝘐𝘯 𝘤𝘢𝘴𝘦 𝘰𝘧 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴: 𝘺𝘦𝘳𝘦𝘷𝘢𝘯@𝘱𝘺𝘥𝘢𝘵𝘢.𝘰𝘳𝘨https://www.meetup.com/pydata-yerevan/events/314378875/
#pydatayerevan #pyconyerevan #pydatapycon #yerevan2026 #PyDataPyConYerevan2026 #techconference
4 attendees from this group
Past events
17
