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.

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.

My background is particle physics, where I was completely spoiled by access to large amounts of data and the freedom to try out every hot ML algorithm on it. The experiments I participated in were so-called large scale experiments (e.g Large Hadron Collider) and had from 500+ up to 2.5k other people working on them. So in addition to physics, I was exposed to the best software development practices that helped us to avoid a complete mess and destroy the Universe.

Afterwards I was working as Data Scientist in various fields and recently became "Solution Architect ML/AI and BI" at big enterprise company.

During my free time, I like learning new tools and techniques and implementing them in end-to-end AI/ML and IoT projects. My experience has also been very helpful in guiding data analysts, data scientists, and machine learning engineers as a mentor and contributing to the growth of the next generation of data scientist elite.

Andy Kitchen is a hacker, startup founder and AI/Neuroscience researcher. Let's grab a beer and talk about philosophy, computer science and society (and science fiction while we're at it!)

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.

Bilge is a developer relations engineer at deepset, where she helps developers build powerful AI applications and teaches the world how to use Haystack. Passionate about RAG, LLMs, and all things Gen AI, she enjoys making complex AI concepts accessible both online and at real-life events

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.

Chang is the CEO/Co-founder of LanceDB and has been making data tooling for ML/AI for almost two decades.
One of the original co-authors of the pandas project, Chang started LanceDB to make it easy for AI teams to work with all of the data that doesn't fit neatly into all of those dataframes - from embeddings to images, from audio to video, at petabyte scale.

Christian has 12+ years of experience in the scientific application of python in academic and industry settings. He is one of the founders of prokube.ai where he builds an MLOps platform build around Kubeflow, MLFlow, Kubernetes, and a host of other open source tools. He also holds a PhD in physics, where he gained experiences in maintaining a distributed compute clusters. Christian is a maintainer of several OSS projects.

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, and the EconDataverse, a universe of open-source packages to work seamlessly with economic data in R and Python.

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.

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.

Seasoned Software & Data Engineering Professional with extensive experience in high-frequency trading systems, data warehousing, and cloud solutions. Expert in optimizing mission-critical systems and implementing engineering best practices. Specialized in Python, SQL and cloud technologies.

Currently working as a Freelance Developer focusing on software and data engineering.

Skilled in developing distributed systems, data pipelines, and performance optimization, consistently delivering solutions that maximize business value.

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

Florian is a multidisciplinary software engineer with a deep interest in human mobility and infrastructure - both physical and digital. His background in software engineering at CODE Berlin and digital design at IADE Lisbon brings a creative approach to technology and data visualization. Currently, he works as a mobile and backend engineer at TBO Digital.

Gergely Daroczi, PhD, is a passionate R/Python user and package developer for two decades. With over 15 years in the industry, he has expertise in data science, engineering, cloud infrastructure, and data operations across SaaS, fintech, adtech, and healthtech startups in California and Hungary, focusing on building scalable data platforms. Gergely maintains a dozen open-source R and Python projects and organizes a tech meetup with 1,800 members in Hungary – along with other open-source and data conferences.

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.

Iryna is a data scientist and co-founder of DataForce Solutions GmbH, a company specialized in delivering end-to-end data science and AI services. She contributes to several open-source libraries, and strongly believes that open-source products foster a more inclusive tech industry, equipping individuals and organizations with the necessary tools to innovate and compete.

Jacek is the CTO of distil labs, making it easy to build specialized AI agents that can be deployed on-device/on-prem. Before that, he was a machine learning team lead at AWS, working on the core components of AWS Q, Automated ML, and natural language processing. He holds a PhD in Machine Learning for Quantum Mechanics from Imperial College London.

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.

Jérôme was part of the team that built, scaled, and operated the dotCloud PAAS, before that company became Docker. He's now an independent consultant, and since he loves to share what he learned, he continues to give many talks and demos on containers, Docker, and Kubernetes. He values diversity, and strives to be a good ally, or at least a decent social justice sidekick. He also collects musical instruments and can arguably play the theme of Zelda on a dozen of them.

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.

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.

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

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.

Laura is a very technical designer™️, working at Pydantic as Lead Design Engineer. Her side projects include Sweet Summer Child Score (summerchild.dev) and Ethics Litmus Tests (ethical-litmus.site). Laura is passionate about feminism, digital rights and designing for privacy. She speaks, writes and runs workshops at the intersection of design and technology.

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).

With over a decade of experience in data science and analytics, I am a Senior Data Scientist at GetYourGuide, where I lead initiatives in leveraging large language models (LLMs) to enhance content quality and conversion rates. My expertise includes fine-tuning LLMs for custom text generation and classification, developing NLP models for discovering new travel interests, and automating predictive models for global travel demand. I have a robust background in machine learning, natural language processing, and AI-driven content automation, which has significantly improved operational efficiencies and business outcomes.
Prior to moving to Data Science, I was a Senior Data Analyst at GetYourGuide, where I developed key metrics for availability and loyalty, built automated forecasting for our travel activities, performed impact analyses for sales and marketing, and automated data analyses with custom libraries.
Before joining GetYourGuide, I worked as Data Analyst in Foodpanda, an online food delivery platform, where I optimized restaurant ranking algorithms and developed recommendation systems.
My analytical journey began at Wealth-X in Budapest, where I worked as a Business Analyst, and later as Research Consultant in Millward Brown Vermeer, where I applied statistical techniques to report insights to external customers.
I hold a Master's degree in Marketing from Rotterdam School of Management, Erasmus University, graduated cum laude, and a Bachelor's degree in Business/Managerial Economics from Università di Pisa.
Driven by a passion for data-driven decision-making, I am committed to advancing AI technologies to solve complex business challenges. At PyData 2025 Berlin, I aim to share insights into deploying AI at scale, refining training data, and mastering prompt engineering to automate content creation across industries.

Maria is a Principal Consultant (Data Engineer) at Modus Create, specializing in data science, software development, and emerging GenAI initiatives. With a PhD in mathematical modeling, she applies a rigorous, methodical approach to developing and maintaining high-quality, data-driven solutions.

Outside of her technical pursuits, Maria is passionate about promoting diversity in the IT industry and inspiring girls and women to engage in programming. Balancing her career with motherhood of three, she finds limited but cherished time for personal hobbies such as riding motorcycles and knitting.

Junior Dev

• TS/JS, Python, Java, and a teeny bit o' C++
• WebDev, DataViz, Backend-Buzz

a11y

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.

Software Engineer at Anaconda, maintaining and improving the open-source data viz libraries of the HoloViz ecosystem. Previously a civil engineer specialized in flood risk assessment.

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.

Dr. Michele Dolfi is a technical lead in the AI for Knowledge group at IBM Research, focusing on knowledge engineering and understanding. Michele is one of the researchers who created the Deep Search platform and the Docling open source project. His expertise spans from artificial intelligence to high performance computing and quantum systems.

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.

I am a Data Scientist primarily focused on Deep Learning and MLOps. In my spare time I contribute to several open-source python libraries.

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.

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

Violetta Mishechkina leads Solutions Engineering at dltHub, helping teams build AI-ready data pipelines using the open-source library dlt. With a background in ML and MLOps, she focuses on turning messy, real-world data into reliable inputs for production systems. Over the past few year, Violetta has led several workshops on AI and data engineering, sharing practical insights with data teams across industries.

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.