PyData Eindhoven 2024

AI Software Evangelist at Intel. Adrian graduated from the Gdansk University of Technology in the field of Computer Science 7 years ago. After that, he started his career in computer vision and deep learning. As a team leader of data scientists and Android developers for the previous two years, Adrian was responsible for an application to take a professional photo (for an ID card or passport) without leaving home. He is a co-author of the LandCover.ai dataset, creator of the OpenCV Image Viewer Plugin, and a Deep Learning lecturer occasionally. His current role is to educate people about OpenVINO Toolkit. In his free time, he’s a traveler. You can also talk with him about finance, especially investments.

Dmitriy Pastushenkov is a passionate AI PC Evangelist at Intel Germany  with more than 20 years of comprehensive and international experience in industrial automation, industrial Internet of Things (IIoT), and real-time operating systems and AI. Dmitriy has held various roles in software development and enablement, software architecture, and technical management.  
Dmitriy started his career at Intel in 2022 as a Software Architect. He works on the enablement and optimization of real-time, functional safety and AI workloads on the smart edge applying innovative Intel technologies and software products.  Currently,  as an AI PC Evangelist Dmitriy focuses on OpenVINO and other parts of the AI PC Software Stack.
Dmitriy has a Master’s degree in Computer Science from Moscow Power Engineering Institute (Technical University).

Ennia works as a Senior Data Scientist at CM.com. As part of the AI Tribe, she works on developing AI software solutions for companies across the globe. Her core focus nowadays lies with CM.com's state-of-the-art Generative AI Engine, which makes the power of LLMs & NLP available, easy to use and safe for companies in all sorts & sizes.

I am a Machine Learning Engineer at LiveEO currently focused on applying Machine Learning techniques to remote sensing data.

Before that, I did a PhD in particle physics at the Humboldt-Universität zu Berlin on the ATLAS experiment at CERN.

Jeroen is a Machine Learning Engineer at Xebia Data (formerly GoDataDriven), in The Netherlands. Jeroen has a background in Software Engineering and Data Science and helps companies take their Machine Learning solutions into production.
Besides his usual work, Jeroen has been active in the Open Source community. Jeroen published several PyPi modules, npm modules, and has contributed to several large open source projects (Hydra from Facebook and Emberfire from Google). Jeroen also authored two chrome extensions, which are published on the web store.

Working on the edge of Business Strategy and Data Science. For me, it is all about converting business challenges into scalable data (science) solutions to create tangible value for the client. Currently leading the implementation of a company-wide experimentation & measurement platform in the airline industry and consulting on organizational change.

Besides being a "techy", I like to make sure everyone understands what we do, why we do it and how it adds value for their business.

Marc Nientker transitioned from a successful seven-year academic career in econometrics, where he contributed as a PhD and Assistant Professor, to the business world to apply his knowledge on a broader scale. He co-founded Acmetric, a strategic data science consultancy that focuses on transforming businesses through data-driven insights.

Acmetric specializes in practical applications of econometrics in areas such as pricing, inventory optimization, product allocation, measurement, and more. His expertise supports organizations in understanding and implementing data-centric strategies that naturally lead to more informed decision-making and operational efficiencies.

Maria works as a Senior Data Scientist at Microsoft, currently based in The Netherlands. Her background is in computer science and mathematics and has 10+ years experience in data science consulting, using applied AI to solve business challenges in several industries and countries. She is also an advocate for diversity in technology and a former co-organizer of the PyLadies Madrid community.

Dr. Matthias Kempe is an Assistant Professor of Data Science in Sports at the University of Groningen. He received his PhD in Sport Science at the German Sport University Cologne form the Faculty of Exercise Training and Sport Informatics. His research interests include performance optimization and decision making in team sports as well as sports analytics. He cooperates with different sports federations in Germany and the Netherlands, especially in Handball, Ice-Skating, and Football. Besides that he worked together with Barca Innovation Hub and is a regular mentor for Hackathons (e.g. world data league). This work has resulted in publications in journals such as Big Data, Journal of Sport Science, European Journal of Sport Science, and Experimental Aging Research

Max works as Data Scientist for the Dutch Tennis Federation (KNLTB). Being part of both the technical staff and the Digital & IT team of the federation, he is involved in many projects for top and recreational tennis. Amongst other things, he works on implementing computer vision & machine learning techniques into match-analysis, on Elo-like rating systems, research, databasing and dashboarding.

Naz is a data scientist at ACMetric, a Data Science & Artificial Intelligence Consulting firm. She specializes in leveraging causal inference and machine learning to improve experimentation and analysis. Alongside her work, she is in her final stages of Ph.D. in Quantitative Marketing. She is skilled in Python and R, turning complex data into clear insights and recommendations for stakeholders. Passionate about reproducible science, she is a data science blogger and speaker.

I recently graduated from my master Business Analytics and Operations Research. To complete my master, I wrote my thesis about accelerating Ukrainian Aid by the Red Cross with BERTopic. During PyData, I am happy to tell you more about this cool research project. As of mid June, I started as a Data Scientist at Pipple. In my spare time, I like to play volleyball or go for a run.

Pedro Tabacof is based in Dublin and is currently a staff Machine Learning scientist at Intercom. Previously, he has worked at Wildlife Studios (mobile gaming), Nubank (fintech), iFood (food delivery app). He has used and deployed machine learning models for anti-fraud, credit risk, lifetime value and marketing attribution, using XGBoost or LightGBM in almost all cases. Academically, he has a master's degree in deep learning and 400+ citations.

I'm working as a software engineer at Royal HaskoningDHV, a Dutch consulting and engineering firm. Both professionally and as a hobby, I have been delving into some AI-related subjects. I'm happy to give my first lecture at PyData Eindhoven, to share about my deep dive into Machine Learning, combined with my passion for cycling.

For the past 3 years I have been working as a Data Science consultant at Pipple. Since Pipple is active in multiple different sectors, I have had the opportunity to do many different projects. What I have discovered is that explainability of the machine learning used was a critical topic in all of these projects. Fortunately, frameworks like LIME have emerged to provided this much needed explainability. I am excited to discuss more about LIME at the upcoming 2024 PyData Eindhoven conference.

Vincent is a senior data professional, and recovering consultant, who worked as an engineer, researcher, team lead, and educator in the past. I’m especially interested in understanding algorithmic systems so that one may prevent failure. As such, he prefers simpler solutions that scale and worry more about data quality than the number of tensors we throw at a problem. He's also well known for creating calmcode as well as a small dozen of open-source packages.

He's currently employed at probabl where he works together with scikit-learn core maintainers to improve the ecosystem of tooling.

I am a French Data Scientist, holding an engineering diploma from Telecom Paris and a Master's degree from Institut Polytechnique de Paris in Applied Mathematics and Data Science.
At the end of my studies, I completed a Data Science internship at Parma Calcio 1913. I now serve as a full-time Data Scientist at the club, working on leveraging tracking data.