Welcome to the PyData Berlin June meetup!
We would like to welcome you all starting from 18:00. There will be food and drinks. The talks begin around 18.30 and the doors will close at 18:45. Make sure to arrive on time!
Please provide your first and last name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited.
Host:
GetYourGuide is excited to welcome you to this month's version of PyData.
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The Lineup for the evening
Talk 1: AI-Powered Carbon Emission Analytics from Public Transit Data - BVG Case Study
Abstract: Imagine planning your route on Google Maps and alongside travel time, walking distance, and number of transfers, you also see the carbon footprint of each route. This project brings that idea to life by integrating real-time BVG transit data with an AI-powered emissions engine. Using segment-level routing information from Berlin’s public transport API, the system estimates CO₂ emissions for each journey based on the transport mode and distance.
The dashboard calculates, visualizes, and even forecasts emissions over time using machine learning techniques like Prophet, while also detecting emission spikes and anomalies. It goes a step further by integrating a language model that explains emissions in plain language and recommends greener alternatives. The goal: to make sustainable commuting as easy and intuitive as choosing the fastest or cheapest route.
Speaker: Sirisha Padmasekhar
Bio: Sirisha is a data scientist on the growth team at a queer social app, where she dives into data to uncover patterns in user behavior, retention, and content impact. She's especially drawn to data passion projects, anything that helps people see things a little more clearly through numbers and storytelling. Outside of work, she hosts a podcast where she interviews people from different walks of life, creating space for warm, honest conversations. For Sirisha, data and stories go hand in hand, both start with curiosity.
Talk 2: Lessons in Data Visualization from My Academic Journey
Abstract: In this short talk, I’ll share practical opinions and approaches to data visualisation developed over years of storytelling to biologists in academia. Expect simple tweaks and tips to make your visuals more impactful and clear—without extra overhead—along with best practices from scientific publishing that I believe can benefit industry. These are personal takeaways that I hope will be useful in your day-to-day as well.
Speaker: Saulius Lukauskas
Bio: Saulius Lukauskas is a data scientist with a Ph.D. in machine learning and an academic background in computational biology. He is currently a Data Science Manager at GetYourGuide, where he develops AI solutions to help suppliers deliver outstanding travel experiences.
Lightning talks
There will be slots for 2-3 Lightning Talks (3-5 Minutes for each) between the two main talks.
Kindly let us know if you would like to present something :)
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