Trainers

Senior Data Engineer at Adevinta

Antonio Garcia

Antonio is a Senior Data Engineer at Adevinta, and he will be introducing us to Machine Learning for business purposes.

Director of Engineering - Platform Services team

Daniel Giribert

"Design, build and develop best-of-breed Information Systems. Design, design and design. Demonstrate that technical people can also rock the world." Daniel will guide you through the basics of the Adevinta Data Highway & talk about data awareness in the company.

Staff Data Scientist at Adevinta

Sandra García

Sandra will be teaching us all about Data in Adevinta & how to product-ionise an ML model. She works in personalisation and recommender systems, and her specialties include Information Retrieval, Machine Learning, Data Mining & Real-Time Web.

Head Of Architecture at Adevinta

Anders Aagard

"I've worked on the technical aspects of computers my entire life, specializing in linux, linux servers and software development." Anders will be teaching us about the barriers to scaling ML within Adevinta.

Senior Engineering Manager at Adevinta

Tim Van Kasteren

"I lead the Personalisation team in Adevinta. We build data driven products using Machine Learning to create more personalised experiences for buyers and sellers on our marketplaces. Leveraging technologies such as Kafka, Spark, Pytorch, Kubernetes our mission is to experiment quickly with prototypes of data products and shorten the path to production as much as possible." Tim will guide you through the basics of ML and it's use cases inside and outside Adevinta!

Product Lead of ML Services in Adevinta

Manuel Sanchez Hernandez

Manuel will explain you how ML can be introduced as part of the product development process. He is co-leading the ML Services Area, an area in the central hub with the mission of helping Adevinta teams capturing the value of ML

Data Scientist Instructor

Francesco Mosconi

Francesco Mosconi is founder and Data Scientist at ​Catalit​. Previously he was lead Data Science instructor at General Assembly and The Data Incubator, as well as Chief Data Officer and co-founder at Spire, a Y Combinator-backed startup that invented the first consumer wearable device capable of continuously tracking respiration and activity. He earned a joint PhD in biophysics at University of Padua and Université de Paris VI and a master in theoretical physics at the University of Padua. Francesco is also a graduate of the Singularity University class of summer 2011. Francesco has published a book called ​Zero to Deep Learning​ and runs training boot camps in San Francisco.

Data Science Instructor

Tom Gadbsy

Holds a Master degree in Computer Science, and is currently working as a Data Science Instructor at Spiced Academy. Tom has also been a Product Manager and Data Scientist delivering both practical training and data-driven enterprise solutions, so he has a wide experience in the field.