January Members Talk evening

Hi PyLadies Berlin! In this members' talks evening held in-person and online, we will have an introduction from our sponsor Bettermile and 2 very insightful talks about Scikit Learn for you and a showcase of data at Bettermile 🥳

🦸🏻‍♀️ 🦹 Non Coding Super Powers is our beloved quick series about everything else, but code, that we need to be nurtured and grown.

🎤 Contributing to OpenSource - how to get started in 5 minutes!

💡 Stefanie Senger (she/her) - Scikit-learns metadata routing API
This talk will introduce scikit-learn users to the new API for metadata routing, a feature introduced in the recent releases and almost fully available since version 1.5 (released in May 2024).

Level: Beginner to the domain (already familiar with Python)

👩‍💻 Stefanie is an open source developer at :probabl., contributing mainly to scikit-learn. With a PhD in History centered on Solidarity Movements, she made a career shift into tech, bringing a unique interdisciplinary perspective to her work.

✨ Tamara Atanasoska (she/her) - Writing a custom scikit-learn estimator
Scikit-learn is a popular machine learning library. It currently has over 200 estimators ready to use for a vast array of use cases. What if you are working on something special that still hasn't found its way into the library? Scikit-learn offers a way to write new compatible estimators, which can be seamlessly integrated with the rest of the library. We will look into what an estimator is, what API that scikit-learn estimators have, reasons why you would like to implement your own and an example of how to. We will end with real-world examples of how other OSS projects use this for their needs.

Level: Intemediate Python developer

👩‍💻 Tamara is working on ML explainability, interpretability and fairness. She is a maintainer of fairlearn and a scikit-learn and skops contributor. Tamara works as an open source engineer at :probably..

📦 Helen FitzGerald and Claudia Stangarone - Predicting Delivery Risks with Machine Learning: A TrustCourier Innovation

Claims in logistics, especially for lost parcels or delivery issues, can be a significant cost for companies. In this talk, we’ll present the framework and share some early results of a new feature within TrustCourier. This feature uses machine learning to predict and flag high-risk deliveries before they escalate into costly claims.

👩‍💻 Claudia is a data analyst at GLS Studio, with a strong interest in machine learning and data engineering. With a PhD in mineral physics, she switched from a career in geo and planetary science a few years ago. Her goal is to strike the perfect balance between technology and science.

👩‍💻 Helen is a junior data analyst who transitioned into the field after achieving a B.A and M.Phil in linguistics, where she was first introduced to language models and Python. Her prior experience spans business development, social media & community management, and marketing, equipping her with a diverse and well-rounded perspective.

✨ Our host Bettermile provides a geo-based and AI-powered SaaS product suite for dynamic, multi-constraint, many-stop address processing, routing and navigation.

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📆 Agenda
18h30 Doors open
19h00 Community Announcements
19h15 Welcome from our sponsor Bettermile
19h20 Non-Coding Super Power talk: contributing to open source
19h25 Scikit-learns metadata routing API
19:55 short break
20h00 Writing a custom scikit-learn estimator
20h35 Predicting Delivery Risks with Machine Learning: A TrustCourier Innovation
20h50 Networking
21h30 See You Next Time! :D

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❓ Can men attend ❓
Everyone is welcome. :)
If you identify as someone well-represented in open source and in tech, please be mindful of the space and privileges you have, and use it to support others.

🎥 This hybrid event will be streamed on YouTube https://www.youtube.com/@PyLadiesBerlin

🍕 There will be food and drinks (with vegetarian and vegan options thanks to our sponsor)

🤝 By attending our online event, you agree to the PyLadies Code of Conduct: https://www.pyladies.com/CodeOfConduct/

📧 Contact
Interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at berlin@pyladies.com

💬 Find us on the PyLadies Global workspace:

1. https://slackin.pyladies.com enter your email address.
   Accept the email invitation
2. Go to workspace https://pyladies.slack.com
3. Join channel #city-berlin, #germany, #jobs-europe