Pierpaolo Hipolito

Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK and a contributor to publications like Towards Data Science, shares his expertise in causal reasoning and data modeling. He delves into the paradoxes of data science, particularly how data quality impacts machine learning outcomes. Pierpaolo highlights innovative modeling techniques used during COVID-19, such as simulations and synthetic data, and emphasizes the importance of feature engineering and understanding the underlying system for more reliable and interpretable models.