About Sandra Pietrowska
Passionate about the world of Data, after several years of experience, Sandra came to appreciate the importance of both “know-how” and “showing what you know” in this field.
On the “know-how” side, she contributes as a Data Scientist and ML Engineer to building Data products. Her expertise covers understanding requirements, collecting and preparing data, and designing and industrializing machine learning algorithms, all while following good coding practices.
On the “showing what you know” side, her goal is to demystify Data by highlighting its key issues and concepts, and by raising awareness of the risks associated with data use. Sandra shares this mission through training courses, blog posts, talks, and her recent initiative, the Data Fresco. Her commitment is to make Data more accessible and understandable for everyone.
Trainer for these courses
MLOps & Machine Learning End-To-End
How do you master the entire lifecycle of a Machine Learning project? From framing to deployment, from monitoring to automatic retraining, adopt MLOps best practices to speed up putting your models into production.
The Data & AI Fresco
Want to align your Data and business teams around a shared vocabulary? This collaborative workshop, inspired by the Climate Fresk, helps teams get familiar with Data and AI concepts while building team cohesion.
Author of these articles
10 lessons learned in 8 years of consulting
Diversity, autonomy, patience, convictions: the essential lessons from Data & AI consulting.
May 12, 2025
The Data Business Model Canvas
A canvas to frame your Data projects: the 3U rule (Useful, Usable, Used).
May 12, 2025
Data Literacy: 4 actions to start democratizing Data
Data Literacy: 4 concrete actions to democratize Data within your company.
May 12, 2025