Petra Kaferle Devisschere is a Data Scientist with 13 years of experience in Data Analytics. She developed different tools and protocols to standardize and accelerate data analyses in research laboratories. She was processing the data originating from various sources: retrieving, cleaning, integrating, analyzing, and visualizing them. Following a specialization in Data Science and AI, she got interested in data industrialization, through its life cycle to production and exploitation. During her internship, she deployed several PoCs of Machine Learning (ML) models on cloud platforms Azure and Databricks.
Her experience as a manager of a research laboratory also equipped her with skills in project management, communication with all the stakeholders, and in the design of software solutions.
During a Machine Learning project we need to keep track of the training data we are using. This is important for audit purposes and for assessing the performance of the models, developed at a later…
May 21, 2020
Introduction and principles of MLflow With increasingly cheaper computing power and storage and at the same time increasing data collection in all walks of life, many companies integrated Data Science…
Mar 23, 2020