Data Science Meetup

Agenda:
18:30 - 19:00 Gathering and snacks
19:00 - 19:45 Data Scientist's Workflow: Look from inside / Vadym Boikov
19:45 - 20:00 Break
20:00 - 20:45 Continuous Delivery of ML Pipelines to Production / Oleksii Moskalenko
20:45 Beer & mingling

Data Scientist's Workflow: Look from inside / Vadym Boikov

I'll tell you what the data scientist routine is about. Using real-life projects as an example, I’ll showcase you how all the stages of developing ML projects are arranged: from establishing business requirements to deriving models in production. I will also describe what problems may arise at different stages of a project’s life. And how other team members can help the data scientist work effectively.

Continuous Delivery of ML Pipelines to Production / Oleksii Moskalenko

Since Data Science engineering practices are still not fully shaped we found out that it is crucial to bring the best practices from software engineering - give Data Scientist ability to deliver models fast without loss in quality and computation efficiency to stay competitive in this overhyped market. To achieve this we are developing our own infrastructure for creating pipelines and deploying them to production with minimum (to none) engineer involvement.

This talk will cover initial motivation, solved technical issues and lessons learned while building such ML delivery system.

Participation is free.
See you there!