PyBerlin: March event
Sponsor: Spiced Academy
Location: Spiced Academy, Ritterstrasse 12-14, 10969 Berlin, Germany
Agenda:
6:30 pm – Doors open: snacks, drinks, networking
6:55 pm - Welcome from PyBerlin
7:00 pm - Welcome from the sponsor - Spiced Academy
7:10 pm – Your Next On-Call Engineer could run Locally // Anthony Alaribe
What if your next on-call engineer wasn't a person, but a Python agent running on your machine?
Inspired by the explosion of local agents like OpenClaw, this talk explores what happens when we point agentic workflows at the systems we monitor.
We'll walk through the checklist most engineers actually run during on-call: checking dashboards, tailing logs, correlating errors with recent deploys, and then explore how to build a custom Python agent that automates these checks using tools like LangGraph, OpenTelemetry, and the Anthropic SDK.
You'll leave with a working starting point and a new way to think about what agentic AI can do beyond chatbots.
Speaker's bio:
Anthony has spent over a decade building software at companies like Opera, and DeliveryHero. He has faced his fair share of dealing with unreliability software and breaking changes in APIs, including losing over $2m in orders to such an incident, amongst other war stories. Say hi when you him. He loves conversations about AI, databases, and programming languages.
7:40 pm - break
8:00 pm – What Actually Changes Customer Behavior? Causal Thinking Across Attribution, Segmentation, and Growth // Dr. Maryam Ramezani-bartsch
Customer data is often used to explain what happened: attribution assigns credit, segmentation groups users, and dashboards track performance. Yet marketers and business leaders still struggle with a more fundamental question: what actually changed because of our actions?
This talk introduces causal thinking as a practical way to interpret customer data across attribution, segmentation, and growth. It shows why correlation-based metrics can be misleading and how counterfactuals and incrementality help teams ask better questions when they look at results. A concrete email campaign example illustrates how causal uplift modeling separates customers who would have purchased anyway from those whose behavior truly changed.
The goal is to help data scientists, marketers, and decision-makers move from reading metrics to reasoning about incremental impact and to make better decisions because of it.
Speaker's bio:
Dr. Maryam Ramezani-bartsch is a data and analytic leader with over 20 years of global experience building and scaling customer analytics and data science teams. She has led the development of customer data, marketing measurement and targeting capabilities for global brands such as adidas, Sky, Delivery Hero, and Zalando, helping embed customer-centric, data-driven decision making across organizations. Her work focuses on building customer data models, causal analytics, experimentation, and developing teams that turn insights into sustained business impact.
8:30 pm – TBA
9:10 pm - closing
This event will be only in-person. Please check our Code of Conduct and official health regulation in Berlin before coming. If you feel some signs of sickness, please consider skipping this event and attending another time. We will have plenty of events in different formats in the future.
Looking forward seeing you all!
