Speakers

Charles Ollion - Heuritech

Deep learning for vision into the wild

Co-founder - Heuritech

Charles Ollion, CoFounder @Heuritech, startup specialized in Deep Learning and Computer Vision. Charles Ollion is a PhD in machine learning and teaches deep learning at Ecole Polytechnique / EPITA

Sylvain Friquet - Algolia

Building a Real Time Analytics API at Scale

Software Engineer - Algolia

Sylvain is a software engineer passionate about large scale infrastructures. He is currently working on the Analytics feature of Algolia. Previously, he was CTO for a biotech startup and a software engineer at Facebook, where he worked on graph search and ads product like Slideshow Ads.

Vincent Poncet - DataStax

How to get real-time value from your IoT data?

Solutions Engineer, DataStax

Vincent has over 13 years of experience in the IT industry. He went from SOA, ESB to MDM and finally to Big Data, from Hadoop to Cassandra. He worked as a consultant in his early years and then became a software presale. Vincent works at DataStax for about 2 years where he helps his customers to embrace NoSQL and Big Data technologies.

Florent Ramière - Confluent

Kafka beyond the brokers: Stream processing and Monitoring

Technical Account Manager, Confluent

He is a technical account manager for Confluent. His job is to sit with customers and help them succeed with Kafka, so he knows a thing or two about Kafka.

Alberto Guggiola - Quantmetry

Exploring graphs: looking for communities & leaders

Data Scientist - Quantmetry

Alberto earned a PhD in theoretical physics for his work on rare events taking place on graphs, and since then he tries to convince anybody (clients, colleagues, relatives, people on the street) of the added value of this approach.

Adrien Morvan - Photobox

Transforming pictures into memories

Machine learning engineer - Photobox

Adrien is a ML engineer at Photobox. He worked on different subjects of computer vision like simultaneous localisation and mapping and face recognition. He now focuses on topics like recommendation to deliver automated solutions at scale.

Jacek Laskowski

The internals of query execution in Spark SQL

Software Developer

Jacek is an independent consultant, software developer and technical instructor specializing in Apache Spark, Apache Kafka and Kafka Streams (with Scala, sbt, Kubernetes, DC/OS, Apache Mesos, and Hadoop YARN). He offers software development and consultancy services with very hands-on in-depth workshops and mentoring.

Samya Barkaoui - Toucan-Toco

Visualizing algorithms

Head of data, Toucan-Toco

``Samya achieved 6 years of experience in the data. She started by working in a consulting company specialized in datascience. She studied at the French engineering school 'Ecole des Mines de Paris' and specialized herself in statistics. She supervises statistics projects with ENSAE students. ``

Thomas Lamirault - BlaBlaCar

Real-Time Access log analysis

Software Architect - BlaBlaCar

Software Architect Data at BlaBlaCar, he has been in the IT industry for 11 years. Other than being a passionate Java developer, he worked as a data engineer for Ericsson and Bouygue Telecom. He now brings his passion and experience for Flink and Beam to build the next data platform at BlaBlaCar.

Pauline Ballereau - Air France

A data scientist journey to industrialization of machine learning

Data Scientist, Air France

Pauline is a data scientist at Air France-KLM. She is crurently working on recommender systems and digital analytics projects. She holds a MS degree in data science and operations research

Matthieu Blanc - Zeenea

Data lineage: visualize the data life cycle

VP Product - Zeenea

Matthieu has a data architect background. He has co-founded Zeenea in 2017. The company edites a data catalog connected to the Big Data systems. It centralizes all these data and metadata to provide a self-service and collaborative data solution. Matthieu is the VP Product of Zeenea.

Aurélia Nègre - Quantmetry

Exploring graphs: looking for communities & leaders

Data Scientist - Quantmetry

Aurélia Nègre has a background in statistics, and prior to working at Quantmetry, she worked at the French Central Bank where she designed and implemented credit risk models for structured products.

Ana Peleteiro Ramallo - Tendam

The wonders of deep learning: how to leverage it for natural language processing

Data Science Director, Tendam

I am currently the Data Science Director at Tendam, where I lead the data science initiatives in the company. Prior to that, I was a Senior Data Scientist at Zalando, where I built data-driven products that provided fashion insights using Machine Learning and Deep Learning. I hold a PhD in Artificial Intelligence, and I have 30+ international peer-reviewed publications, as well as having spoken at 10+ international conferences. I am a firm advocate of knowledge sharing, as well as promoting women in tech initiatives.

Cristina Oprean - Photobox

Transforming pictures into memories

Machine learning engineer - Photobox

Cristina is working as R&D engineer in machine learning @Photobox. She earned a PhD focused on handwriting recognition from Telecom ParisTech. Her current work is centered around adapting and applying the state of the art in computer vision and recommendation for Photobox innovative products.

Pablo Lopez - Xebia

Computer vision: a pragmatic alliance between deep learning and a more ``traditional`` technique.

CTO - Xebia

Pablo has a strong knowledge in software developement and is passionate about technology in general. He is always eager to discover new fields of interests. Therefore, pairing with a DataScientist was for him a way to set foot in a new playfield.

Pierre Schmidt - Toucan-Toco

Visualizing algorithms

Lead backend developer, Toucan-Toco

``Pierre has 10 year experience working as a data engineer. Pierre started working in the field of industrial manufacturing automation software in London. He later caught up, in Paris, with data engineering and distributed systems for web applications at Sen.se and Deezer. He studied at Ecole Normale Supérieure where he focused on logic and its applications in computer science.``

Kevin Nelson - Google

A crash course on Google Cloud AutoML and machine learning APIs

Google Cloud - Developer Advocate, Google

He is a Google Cloud Developer Advocate focused on storage and machine learning. Before joining the Cloud team, he was a lead Product Manager on Google Drive. Prior to joining Google in 2014, he was an entrepreneur with over 20 years of experience building and managing software and SAAS companies. In addition to working at Google, he sits on the board of Quantum Scientific Imaging, a company he co-founded which designs and manufactures scientific CCD cameras for applications that require superior image performance such as astronomical and medical imaging.

Nicolas Laille - Xebia

A data scientist journey to industrialization of machine learning

Data Engineer, Xebia

I started as a back end developer before diving deep down in big data as a data Engineer. I am now helping Air France to industrialize their on data sciences projects.

Pierre Villard - Hortonworks

How to deal with workflows lifecycle in Apache NiFi?

Solution Architect - Hortonworks

Involved in the Apache NiFi community since 2015, he is a committer and PMC member of the Apache NiFi project. Sincelery convinced by the open source software model, he is also a Solution Architect at Hortonworks since 2016.

Sylvain Lequeux - Xebia

Tensors in the sky with CloudML

Data Engineer - Xebia

Sylvain is Data Engineer at Xebia. He dispenses Cloudera Administrator and Machine Learning with Spark trainings. He is certified Cloudera Developper and is a Software Craftsmanship enthousiast.

Olivier Bergeret - AWS

Machine learning models at scale with Amazon SageMaker

Solutions Architect Manager, AWS

Solutions Architect Manager and Data/AI specialist at AWS, Olivier is the creator of two 1-day discovery workshops dedicated to AI and Big Data, and the author of some contents for SageMaker, the managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Before joining AWS, Olivier was the CTO of lacentrale.fr and the Dev Manager and previously a developer for many startups and medium media companies during the past 18 years.

Samah Ghalloussi - Ministère des solidarités et de la santé

Enhancing medical student practice with patient-like chatbots

Data scientist / Entrepreneure, Ministère des solidarités et de la santé

Samah worked for 3 years at the French Atomic Energy Commission (CEA) in the Natural Language Processing Lab where she contributed to several Machine Learning projects as well as the creation of chatbots. Then, she joined the start-up Stryng Messaging Inc. in June 2017 to add Artificial Intelligence to this new messaging app dedicated to professionals. She is now data scientist for the French Ministry of Health as a Public Interest Entrepreneur

Pierre Sendorek - Xebia

Computer vision: a pragmatic alliance between deep learning and a more ``traditional`` technique.

Data Scientist - Xebia

Pierre Sendorek is passionate about machine learning and signal processing. He holds a PhD in signal processing and a master in applied mathematics as well as an engineering diploma. Currently, he is working as a Data Scientist at Xebia.