PyData Berlin 2025

Adrin is VP Labs at probabl.ai and has a PhD in computational biology. He is also a maintainer of open source projects such as scikit-learn and fairlearn. He focuses on developer tools in the statistical machine learning and responsible ML space.

Aishat Muibudeen is a Design Maintainer at the AsyncAPI Initiative, where she also serves on the Code of Conduct and Technical Steering Committees. She’s an active contributor to CHAOSS and co-founded OpenNest-Africa, a community built to make open source less intimidating and fun, especially for folks from underrepresented backgrounds.

Her work intersects inclusive design, community care, and open-source sustainability. She frequently spoke on these topics and presented her paper “Beyond the Code: How Diversity and Inclusion Shape the Future of Open Source” at the OpenForum Academy Symposium (OFA) in 2024.

Driven by a love for storytelling and systems change, Aishat believes community is just as critical as code. She's passionate about helping people feel seen, supported, and safe in tech spaces — and yes, she’s learning German too, weil Wachstum nicht am Keyboard endet.

Alexander C. S. Hendorf has over 20 years of experience in digitalization, data, and artificial intelligence. As an independent consultant, he focuses on the practical implementation, adoption, and communication of data- and AI-driven strategies and decision-making processes.

While still in law school, he worked as a DJ—before dropping out to join a transatlantic music start-up. The venture evolved into a decent independent label group and, eventually, a small stock corporation, where Alexander became a partner and, at 28, took over as COO. He led the company’s digital transformation and designed systems that could scale with growth. This entrepreneurial journey laid the foundation for his deep understanding of business strategy, technology, and innovation.

After closing the chapter on digital music, Alexander turned his focus to data science and AI—initially driven by curiosity, with weekends on Coursera and evenings on GPUs. That passion evolved into a career advising organizations on AI integration, data strategy, and building impact-driven teams.

Some say he just picks the flashiest jobs—record label owner, data scientist—but really, he follows his passion: for what’s new, what matters, and what connects people and technology.

Today, he supports clients—especially in regulated or legacy-heavy industries—in aligning emerging technologies with real-world business goals. His work emphasizes cultural impact, sustainable change, and interdisciplinary thinking.

Alexander is a recognized expert in data intelligence and a frequent speaker and chair at international conferences, including PyCon DE & PyData, Data2Day, and EuroPython. He’s a Python Software Foundation Fellow, EuroPython Fellow, and board member of the Python Software Verband (Germany).

Since 2024, he has been driving Pioneers Hub, a non-profit supporting vibrant, inclusive tech communities—and helping innovators keep pace in a rapidly changing world.

⚾ Senior Applied Scientist
🎙️ Creator @ LearnBayesStats Podcast
📊 Cofounder @ PyMC Labs
👨‍🏫 Teacher @ Intuitive Bayes

Alina Dallmann is a computer scientist currently working as a Data Scientist at scieneers GmbH. Her enthusiasm for classical software development and data-driven projects has recently come together in various projects focused on building retrieval-augmented generation (RAG) systems.

Ansgar Grüne is a Senior Data Scientist at GetYourGuide in Berlin. His work focuses on ML/AI approaches to improve the users search and discovery experience on the platform. He holds a Ph.D. in Theoretical Computer Science and has 10 years of experience as a Data Scientist in the travel industry following several years as software engineer.

Avik Basu is a Staff Data Scientist passionate about building intelligent, scalable systems that blend research with practical impact. With extensive experience in time series modeling, anomaly detection, and explainable AI, he focuses on making machine learning robust, interpretable, and production-ready.

Avik is a frequent speaker at conferences like PyCascades, PyData and KubeCon, where he shares insights on topics such as reproducible ML workflows, ML-driven observability, etc. He is also an active contributor to the open-source ecosystem, serving as a maintainer of the real-time data processing framework Numaflow and a reviewer for scientific Python projects.

Outside of work, he explores the intersection of machine learning, personal finance, and open-source tools, aiming to build software that is accessible, self-hostable, and privacy-focused. He is driven by a strong belief in community, transparency, and empowering others through education and mentorship.

I’m a data scientist and AI engineer with 10+ years of experience across academic research and industry, building GenAI and machine learning solutions for research labs, startups, and Fortune 500 companies. I’m also a passionate educator, contributing to data training programs as a professor and consultant, and an active open-source contributor and speaker at conferences like SciPy and PyData.

Eight years ago, I discovered a lasting passion for data and AI—the kind that keeps you experimenting long after your calendar says “done.” That curiosity took me from Venezuela to Chile and, most recently, to Estonia, where I collaborate with teams across Latin America, Europe, and Africa.

After years in Chile doing Marketing consultancy, and working with companies like Omnicom Media Group at the Regional level, I move to help Bolt accelerate its marketing-data‑driven transformation, recently, shifted just a few tram stops north to Wise—Estonia’s largest tech unicorn—bringing everything I learned from one high‑velocity scale‑up to another. My focus remains on turning marketing ambitions into measurable, model‑powered outcomes, even when the roadmap seems to sprint faster than the release notes.

Beyond the day job, I’m a core member of PyMC Labs, the research group behind open‑source projects such as PyMC, PyMC‑Marketing, CausalPy, and PyTensor. If you run PyMC‑Marketing and something unexpectedly works a little better, there’s a non‑zero chance it came from one of my late‑night pull requests.

My long‑term goal is to master the hybrid role of “Marketing Scientist” blending statistical rigor with business storytelling. If you like statistics, bayesian models, data‑driven decisions, as well open‑source cameo, then let’s connect.

Christoph Scheuch is an independent data science and business intelligence expert, currently serving as an external lecturer at Humboldt University of Berlin and as a summer school instructor at the Barcelona School of Economics. He is the co-creator and maintainer of the Tidy Finance project, an open-source initiative promoting transparent and reproducible research in financial economics.

Previously, Christoph held leadership roles at the social trading platform wikifolio.com, including Head of Artificial Intelligence, Director of Product, and Head of BI & Data Science. He has also lectured at the Vienna University of Economics and Business, where he earned his PhD in Finance through the Vienna Graduate School of Finance.

Danial is a data scientist & analytics translator with a PhD in applied mathematics (systems & control). In his career, he has experienced different sectors, i.e. manufacturing, cybersecurity, healthcare, and finance. In his current adventure at ABN AMRO, he contributes to personalized solutions that improves clients experience and satisfaction.

Dat is a seasoned technology and business leader with deep expertise in AI, machine learning, and digital transformation. As Partner & CTO at DATANOMIQ, he advises companies on AI strategy and implementation. Before that he worked for Axel Springer SE, idealo.de, Pivotal Labs and Accenture. His interests are diverse from traditional machine learning, deep learning, computer vision, AI in general to large language models. He has a lot of experiences from devising realistic data-driven use cases to the actual implementation into a real product; more than capable of distinguishing hype, buzzwords and wannabes from substance. He’s actively engaged with the global tech community, sharing insights on AI, tech leadership, and digital transformation with over 76k+ followers on LinkedIn. As a frequent keynote speaker, he has presented at conferences such as PyData, WeAreDevelopers, and many more, mentoring professionals in machine learning and leadership along the way.

Dennis is an engineering leader and product-focused technologist with deep expertise in building modern software systems, mobile platforms, and intuitive, user-centered products. As Staff Engineer at Beams, he helps shape AI-driven solutions for safety and risk management in aviation and beyond. Previously, he held senior engineering and leadership roles at Pivotal Labs and SoundCloud—helping scale teams, launch cross-functional product initiatives, and drive iterative development practices for large clients such as Volkswagen and across sectors like banking, insurance, and multimedia. A passionate builder, Dennis has co-founded multiple startups and continues to run several side projects, among which is an “App of the Day” winner in the US. He works across languages and stacks, focusing on long-term maintainability, thoughtful architecture, and delivering real-world impact.

Juan is a Mathematician (Ph.D., Humboldt Universität zu Berlin) and data scientist. He is interested in interdisciplinary applications of mathematical methods, particularly time series analysis, Bayesian methods, and causal inference.

Kristian is a freelance Python trainer who wrote his first lines of Python in the year 11111001111. After a career writing software for life science research, he has been teaching Python, Data Analysis and Machine Learning throughout Europe since 2011. More recently, he has built data pipelines for the real estate and medical sector.

Kristian has translated 5 Python books and written 2 more himself, in addition to numerous teaching guides. Kristian has collected 364 stars on Advent of Code. His knowledge about async is, unfortunately, miserable. His favorite Python module is 're'. Kristian believes everybody can learn programming.

Liza (Elizaveta) Zinovyeva is an Applied Scientist at AWS Generative AI Innovation Center and is based in Berlin. She helps customers across different industries to integrate Generative AI into their existing applications and workflows. She is passionate about AI/ML, finance and software security topics. In her spare time, she enjoys spending time with her family, sports, learning new technologies, and table quizzes.

Emma Saroyan is a developer advocate and an author. She has worked in startups at the intersection of technology and education, and is a passionate community builder within the open source ecosystem. Emma is running a local Postgres User Group in Yerevan, Armenia, where she organizes meetups and conferences. She currently serves on Diversity & Inclusion Committees of PgUS and NumFOCUS. She enjoys giving talks, and sharing her knowledge at tech conferences.

Machine Learning Engineer at LiveEO | Recovering Physicist | Spends most of his time making machines understand the world from space.

Gertrude is a solutions engineer at Paystack, specializing in cloud computing, software development, and cybersecurity. A mentor with Na’amal and a volunteer with PyLadies Ghana, she supports underrepresented tech groups and participates in building inclusive tech communities. She contributes to Open Source and speaks at tech events. Passionate about empowering others, she advocates for an inclusive and thriving global tech ecosystem.

Giampaolo Casolla is a Senior Data Scientist at GetYourGuide, leveraging advanced machine learning and Generative AI to solve complex travel industry challenges. With expertise spanning areas like Safety, Risk, and Security, and strong skills in stats, Python, R, and cloud tech, he brings a diverse background to the role. Prior to GetYourGuide, Giampaolo developed award-winning ML solutions at Amazon and has a background in research with publications and conference presentations. At GetYourGuide, he's focused on integrating LLMs and GenAI into data products to drive innovation in travel technology.

I'm a technologist, ml enthusiast and indie hacker from Berlin. Currently I build generative ai stuff at Google.

Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, implementing machine learning models, and building solutions using Python, R, JavaScript, and Bash. He’s passionate about open source and sharing knowledge. He’s the author of Python Polars: The Definitive Guide (O’Reilly, 2025) and Data Science at the Command Line (O’Reilly, 2021). Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University. He lives with his wife and two kids in Rotterdam, the Netherlands.

Jesse Grabowski is a PhD candidate at Paris 1 Pantheon-Sorbonne. He is also a principal data scientist at PyMC labs, and a core developer of PyMC, Pytensor, and related packages. His area of research includes time series modeling, macroeconomics, and finance.

Jessica Greene is a self/community-taught developer who came to tech by way of the film industry and specialty coffee roasting. She is now a Senior Machine Learning Engineer at Ecosia.org, where she explores how ML and generative AI can support climate action. Passionate about ethical, sustainable, and inclusive technology, Jessica co-leads PyLadies Berlin, serves on the board of the Python Software Verband (PySV), and is part of the Python Software Foundation’s Conduct Working Group. In 2024, she was honored with the inaugural Outstanding PyLadies Award and the PSF Community Service Award for her contributions to the Python ecosystem.

A studied natural scientist, Johannes tought himself data science skills and now does what he loves: to solve data and tech challenges that generate value.

Hey,

I'm Johannes, a Data Scientist who loves to tell educative stories about Machine Learning methods and AI. Preferably I'm doing this in Open Source communities.

I've been working with Computer Vision for more than 10 years, ranging from designing my own Haar-Cascade face detection, over research on autonomous cars all the way to helping people configure their photobooks in a smart and easy way.

I have worked in the healthcare industry for more than 10 years, currently a senior machine learning at Owkin. Committed to open source and open science principles, I aspire to leverage Python and data science for social good, focusing on health, inclusion, and projects that make a meaningful difference in people's lives.

Marco is the author of Narwhals, core contributor to pandas and Polars, and works at Quansight Labs as Senior Software Engineer. He also consults and trains clients professionally on Polars. He has also written the first Polars Plugins Tutorial and has taught Polars Plugins to clients.

He has a background in Mathematics and holds an MSc from the University of Oxford, and was one of the prize winners in the M6 Forecasting Competition (2nd place overall Q1).

As a Machine Learning Engineer at Bayer, Matthias Orlowski has contributed to various projects, focusing on natural language processing in pharmacovigilance and medical image processing in radiology and early drug discovery. Matthias studied in Konstanz, Nottingham (UK), Durham (North Carolina, USA), and Berlin, where he earned a PhD from Humboldt University in 2015. Prior to joining Bayer, Matthias gained diverse experience in multiple roles and organizations, tackling projects in consumer targeting, campaigning, and recommender systems.

I'm Mehdi, also known as mehdio, a data enthusiast with nearly a decade of experience in data engineering for companies of all sizes. I'm not your average data guy—I inject humor and fun into my work to make complex topics easier to digest. When I'm not actively contributing to the data community through my blog, YouTube, and social media, you can find me off-beat, marching to the beat of my own data drum.

Recently, I joined Motherduck as a developer advocate, where I bring my data engineering expertise to supercharge DuckDB.

I’m a data scientist specialising in probabilistic modelling for the study of risk and causal inference. I have experience in model development, deployment, multivariate testing and monitoring.

I’m interested in questions of inference and measurement in the face of natural variation and confounding.

My academic background is in mathematical logic and philosophy where I mostly imagined possible worlds and modal logics.

Software and data engineering consultant. I build data systems that help businesses to answer questions about their business. I like solving problems in a pragmatic way.

As a Staff MLE, Sankalp gets fired up by complex technical challenges, diving deep into time series, constrained optimization, and high-performance computing. He's currently exploring the practical frontier of Generative AI, applying LLMs and multimodal techniques to improve how knowledge graphs are built from diverse sources. This talk focuses on a crucial component of that work: efficiently mapping and aligning extracted concepts to standard knowledge bases like Wikidata. Off-duty, his adventures shift from algorithmic to atmospheric (skydiving) and aquatic (scuba diving), often accompanied by his adventure-loving dog.

Tim is a Software Development Consultant at Netlight with a track record of experience in diverse industries, including MedTech, E-Mobility, FinTech, E-Commerce, EdTech and IoT. With a passion for technology and a relentless pursuit of excellence, he is dedicated to continuously push the boundaries of innovation while crafting clean, well-architected solutions and streamlining processes for efficiency. Currently, Tim is supporting Bayer in the Research and Development domain by visualising extensive cell painting image data in early drug discovery.

Tobias is the CEO of MOSTLY AI, the leader in privacy-preserving synthetic data. Originally from Vienna, Austria, he is currently based in Munich, Germany. Before joining MOSTLY AI, Tobias worked as a management consultant with the Boston Consulting Group and in tech start-ups in different leadership roles. He earned a PhD from the Vienna University of Business and Economics and an MBA from the Haas School of Business at UC Berkeley. With his extensive background in strategy and technology, Tobias drives MOSTLY AI’s mission to revolutionize data access and data insights across industries.

An accomplished technical leader, Tobias brings over two decades of experience in software development, complemented by profound expertise in Data Science and Data Engineering. His career has focused on the end-to-end design and implementation of complex data-intensive applications, spanning the full lifecycle from data ingestion to deployment. In his current role at Lotum he is tackling a data volume of several hundred million events from mobile games per day.

Veit Schiele is a German IT expert and entrepreneur best known as the founder and CEO of cusy GmbH, a company focused on bridging the gap between software engineering and data science, developing robust, reproducible and scalable solutions for data analysis and visualization. He is also an experienced trainer who has authored tutorials on Python for data scientists and is known for his work in scientific programming, agile methodologies and IT compliance.

Veit is also active in the Python community, particularly in the area of scientific computing. He organizes training courses and conferences on Python and data visualization, with the aim of promoting best practices in research software development.

Remote Sensing & Space System Engineer | Innovating AI-Powered Geospatial Solutions | Expert in Satellite Data and Infrastructure Monitoring

Wessel's greatest passion is working with data. He loves collecting, storing, transforming, analyzing, and presenting data. Wessel is an Analytics Engineer at Lotum, where he creates data models and develops ETL pipelines and dashboards to assist his colleagues in their daily work.

Even in his free time, Wessel's love for data continues, as many of his hobbies can be explored in a data-driven way. He particularly enjoys diving into video and board games, analyzing everything that can be quantified.

I am a data analyst with experience in various sectors including tech and supply chain. I am also a hobby programmer and like to spend my spare time working on cool personal projects.

Yashasvi Misra is a Data Engineer at Pure Storage and Chair of the NumFOCUS Code of Conduct Working Group, where she helps foster inclusive practices across the open-source ecosystem. She has contributed to foundational projects like NumPy and has been an active part of the Python community since her college days. Yashasvi is also a passionate advocate for diversity and inclusion in tech. She introduced a period leave policy at a previous organisation and continues to work toward building more equitable workplaces. She has shared her work and insights at conferences around the world, including PyCon India, PyCon Europe, PyLadiesCon, and PyData Global.