Arnaud de Turckheim is the Chief Product Officer and co-founder of CastorDoc. A graduate of CentraleSupélec with a Master's degree in Computer Science, he worked for five and a half years at Criteo, where he led analytical projects such as the Data Discovery tool and the Data App Factory. In 2019, he joined PayFit as Head of Data before co-founding CastorDoc in 2020, where he currently oversees product innovation.

Building AI and data products for the last 15 years.

I'm an engineer by training and very early got interested into applying maths to societal questions. When I was in academia, economic empowerment was core to my research. I was looking at the impact of rising inequality of income and wealth, and wanted to shift from analyzing households' balancesheets to improving them. I spent the following 10+ years in San Francisco working on developing marketplaces that enable people to make better use of their assets : their cars (at Turo), their homes (at Airbnb). At Airbnb, we also focused a lot on enabling people to live from their passion with experiences. I have now moved back to France to be closer to my family and contribute to another disrupting marketplace, Malt, enabling people to make the best decisions about their most important asset: their human capital, their talent and their time.

Disruption and innovation often come with a dark side too, even with the best company mission. This is why I love data roles, because we can see first hand what's going on and nudge the organization. Ethical data use and AI is also a significant challenge, on which we need more brains. Join me in this adventure!

David is VP of AI at Cube and previously co-founder of Delphi Labs - he is focused on the application of LLMs with semantic layers to enable self-serve analytics. David writes a data blog weekly at davidsj.substack.com and has worked in data for 15 years, leading data teams before entering startups.

Professor Dr. Hannes Mühleisen is a creator of the DuckDB database management system and the co-founder and CEO of DuckDB Labs, a consulting company providing services for DuckDB. He is also a senior researcher of the Database Architectures group at the Centrum Wiskunde & Informatica (CWI) in Amsterdam and a Professor of Data Engineering at Radboud University. Hannes’ main interest is analytical data management systems.

Joe Reis, a seasoned data professional with over two decades of experience, is a globe-trotting author and speaker. Known as a "recovering data scientist," his expertise encompasses data engineering, architecture, and machine learning.

He is highly sought-after as a keynote speaker at major data conferences worldwide, advising and investing in innovative data product companies. Additionally, he contributes regularly to his personal blog and Practical Data Modeling, and hosts popular data podcasts like "The Monday Morning Data Chat" and "The Joe Reis Show." In his spare time, Joe is passionate about authoring new books and articles, continuously striving to push the boundaries of the data industry.

Virginie Cornu is the Co-Founder and CTPO of MyFenix, a fintech application aimed at empowering women in finance through an intuitive user experience, data-driven insights, and AI features.With a strong background in Technology and Data, she has previously held VP roles in several scale-ups, leading teams of up to 120 people and focusing on creating innovative Data and AI products. Passionate about building efficient organizational structures, she initiated a Data Mesh approach to enhance data accessibility and collaboration within organizations while delivering data science and analytics projects.Driven by a commitment to impactful tech products that create real impact, she thrives on bringing effective tools to life while building efficient organizations that foster innovation and collaboration.

Michaël is a data administrator for the Department of Gard. Initially a development engineer in the private sector, he discovered Geographic Information Systems by joining Gard in 2013, then gradually expanded his field of action to include all “data”. Today, its role is to enhance the Department's data assets, to inform management decisions, so that they can offer an efficient public service.

Former Data Scientist and a strong advocate for close collaboration between product, tech, and business to develop AI products that have a positive impact on our millions of clients 💪🏼.

Anne-Claire Baschet is Chief Data & Artificial Intelligence Officer at Mirakl, where she drives the Data and AI strategy, collaborating with teams to create value through AI and machine learning technologies in Mirakl’s products, services, and daily operations. Anne-Claire began her career as a Data Scientist at Mercer and AXA, and then held various leadership roles in Data at AXA France.

She also worked in Data & Product at Voyages SNCF, where she led and launched products such as the TGVPro mobile app, TGV Max, and the WiFi portal on TGV trains. Before joining Mirakl, Anne-Claire was Chief Product & Data/AI Officer at Aramis Group.

Gaëlle is Group Product Manager and Staff in Decathlon's Core Data Product team, where she leads a 'data as a product' transformation. With over nine years of experience, she has led major product transformations and user-centric data programs. A passionate product craftsman, she aims at making Data Product and Data Management accessible and focused on teammates needs.

Anaïs is leading the data platform at Malt, Europe's leading freelancer marketplace. In this role, she oversees data engineering, analytics engineering, and ML Ops. In her prior experience, she spent five years at Pernod Ricard, the global leader in wine and spirits, where she built the company's data platform and led the implementation of their data transformation initiatives

Jeannie's data journey started in Silicon Valley, where she gained experience working for startups and multinational conglomerates in the online retail segment. Now, she spearheads Data Analytics Engineering at Malt, driven by her belief in the transformative power of organized, well-documented data. Jeannie is passionate about leveraging emerging technologies to enhance data warehouse clarity and unite teams around shared objectives.

After a Biotech major at Centrale Supélec, he joins Theodo Data and AI in 2021 and becomes passionate about building data and AI products for various clients and sectors, pushing them to production, and measuring real world impact.

He loves meeting other members of the data ecosystem, exchanging tips, techs, and best practices!

Hussein is a Sr. Data Engineer in the Ads Network team at Voodoo, where he designs and develops scalable data solutions. With over 5 years of experience building lakehouse architectures, he has a passion for data processing and analytics. As a member of the Apache Airflow PMC and a contributor to various open-source projects, he brings both deep technical expertise and a community-driven spirit to his work.

J'ai reçu une formation classique en économie avec un Master à l'Université Paris I : Panthéon-Sorbonne, axé sur l'économie appliquée et les méthodes mathématiques. Je suis Data Analyst, avec une expérience en économie, en consulting et en dirigeant une entreprise de deux personnes. Je suis passionné par la Data et Harry Potter. J'ai rejoint BlaBlaCar en janvier 2022 et je me suis développé en tant que Data Analyst depuis lors

Passionate about using data to make informed decisions and drive business success, I am committed to empowering teams with high quality data products and fostering a self-service data culture. With a diverse background in assisting various industries – from office rental, educational video games, to payments – in harnessing and analyzing their data, I'm currently dedicated to advancing Blablacar's bus data initiatives.

I thrive on continuous learning, exploring the multifaceted realm of data to stay at the forefront of innovation. I am also a photographer who capture scenes of life across the globe.

I am a Data Analyst specialising in growth and product analytics. I help companies understand their product usage and drive revenue through data-driven decisions.

I am passionate about the field of data and believe that anyone can enter this field from a non-traditional background. I share my journey and knowledge with the ambition of helping others through a bi-weekly newsletter.

Data Engineer for 5 years at BlaBlaCar and with an experience of 7 years in total. Today, I work for the Data Ops team at BlaBlaCar where I am in charge of developing the data infrastructure.

Engineering Manager at Blablacar for 7 years, I began my career as a software engineer. I led backend teams before joining Blablacar's data team in 2020. Today, I lead a multidisciplinary team focused on topics related to Blablacar drivers. I am also responsible for improving our data platform.

Experienced Chapter Lead & Senior Data Engineer with 7 Years of Expertise in Building Scalable Data Solutions, Leading Engineering Teams, and Driving Data-Driven Insights.

Guillaume is a Google Developer Expert on Cloud Platform since 2019 and works at Carrefour as Group Data Architect. Java developer for more than 15 years, and despite positions of responsibilities, he has always kept his wish to create, develop, discover and test new solutions, especially in the Cloud, the machine learning or Python and Go language.

Innovation addict and Google Cloud 3x certified, writer and speaker in his free time, he's fascinated by the serverless solution and all the "usual" problems that it solves. More generally, he likes helping people stucks on Google Cloud; you can find him on Stack Overflow (guillaume-blaquiere), Medium (@guillaume-blaquiere) and Twitter (@gblaquiere)

Benoit, working in the data industry for 6 years - mainly in data engineer positions in companies like Maisons du Monde, Olympique de Marseille or Deezer. Currently working as a Solutions Engineer at Kestra. I'm passionate about the data landscape and writing: so I naturally run a monthly newsletter on Substack, exploring the liminal state between data, engineering and design.

With 15 years of experience in software development, I have traveled an enriching path that has taken me from backend programming in Java and Scala to data engineering. My journey also includes experiences in frontend development and cloud infrastructure, particularly with AWS

Florent is the co-founder of Nibble where he participated in the development of spice, an innovative Feature Platform allowing organizations to manage the complexity of their Feature Engineering process to accelerate the industrialization of their ML models. Very involved in the French MLOps ecosystem, he has been organizing events on these topics since 2018. Her Product background allows her to address the issues of industrialization of AI from an original perspective, integrating strategy, user experience and interdisciplinary collaboration at the same time.

Manuel is a Data Analyst with 3 years of experience, specializing in Product Analytics for scale-ups. With an entrepreneurial mindset, he crafts data products that empower cross-functional teams. Passionate about growth and experimentation, he shares insights through ‘Growth Science’ newsletter.

Leading Growth and Activation Analytics at Dashlane, I help business teams improve user acquisition, activation, and retention through cross-functional data projects. I also write Growth Science, a newsletter sharing innovative analytics tools and strategies to drive business growth.

Tiankai is a Data & Analytics leader and author of "Humanizing Data Strategy". He is currently the Data Strategy & Governance Lead in Thoughtworks Europe and the Head of Marketing of DAMA Germany. With 11+ years experiences in Data Analytics, Data Governance and Data Strategy, he found a passion for the human aspect of data: how to collaborate, communicate and be creative around data. He is passionate about making data more understood, approachable and fun through unconventional methods like music and memes.

Paul has taken data usage at Nickel from 5 to 200 BigQuery users. He believes the biggest business impact is achieved by empowering everyone to be full-data-stack: from data collection to real-time ML algorithm deployments. Paul is also building open-source products to this end.

Founder of DataGen, the podcast related to data strategy in France.Since 2019, Robin has talked to 150+ data leaders & experts to deep live into their challenges (BlaBlaCar, Doctolib, Decathlon…).

Christelle has been working in data for 10 years and has led data teams of various sizes in fast-growing start-ups. She has managed projects ranging from data science, data engineering and analytics. Passionate about technical topics, Christelle is also very committed to helping people evolve and stay motivated in competitive environments. Having worked with young talent in various contexts, she has always sought to combine technical development, personal development and team motivation.

Researcher at the INSEP performance division.

Deputy director of the Institute of Biomedical Research and Sports Epidemiology (IRMES).

Co-editor of the National Data Plan for the National Sport Agency prefiguring the Sport Data Hub.

In charge of the medallibility and DETECT projects.

I've been Engineering Manager @Decathlon since 2023, I've been leading Analytics Engineers in the progression of their competence and in the Group's Analytics architecture. My work over the past year has revolved around core datamarts, the Metric Layer dbt connected to Tableau, and metric trees at the end of the chain.

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Head of Data at iAdvize for 1 year, doctor in astrophysics, has 10 years of experience in data in business (Saas B2B startup, then ETI retail, then scale up Saas B2B) Recent challenges: restructuring the data team and its repositioning within the company, evolution of the technical stack, monitoring the quality of generative AI models and the demonstration of the value of GenAI solutions to customers

Taha is the Lead Analytics Engineer at Brevo, with over 8 years of experience in Analytics and data strategy. Previously at Jellysmack, Taha is dedicated to enabling self-service analytics and fostering a data-driven culture within the organization.

Christophe has been a data engineering professional for eight years. Passionate about all things data ever since. Having learned a lot on his own thanks to the resources available online, he publishes a weekly newsletter on data engineering.