Dr. Tania Allard
Tania is a Research Engineer and developer advocate with vast experience in academic research and industrial environments. Her main areas of expertise are within data-intensive applications, scientific computing, and machine learning. One of her main areas of expertise is the improvement of processes, reproducibility and transparency in research, data science and artificial intelligence.
Over the last few years, she has trained hundreds of people on scientific computing reproducible workflows and ML models testing, monitoring and scaling and delivered talks on the topic worldwide.
She is passionate about mentoring, open source, and its community and is involved in a number of initiatives aimed to build more diverse and inclusive communities. She is also a contributor, maintainer, and developer of a number of open source projects and the Founder of Pyladies NorthWest UK.
Tania has vast experience providing both workshops and talks all over the world, from big conferences such as PyCon to smaller user groups or interest groups. She is interested in both technical talks as well as talks covering community aspects.
Building data pipelines in Python: Airflow vs scripts soup
In this workshop, you will learn how to migrate from ‘scripts soups’ (a set of scripts that should be run in a particular order) to robust, reproducible and easy-to-schedule data pipelines in Airflow.