Soledad Galli is a lead data scientist and the founder of Train in Data, an online school for data science and machine learning. As a data scientist in finance and insurance companies, she researched, developed, and put into production machine learning models to assess credit risk, handle insurance claims, and prevent fraud, leading the adoption of machine learning within those organizations. Her contributions to the field were recognized with a Data Science Leaders Award in 2018, and in 2019 she was selected as a LinkedIn voice in data science and analytics.

Sole is passionate about sharing knowledge and tools and helping others succeed in data science. She teaches 7 online courses on Machine Learning at udemy.com, authored a book on feature engineering, and created and maintains the open-source Python package Feature-engine, which is downloaded around 30k times a month. She also mentors data scientists, writes articles online, and speaks at data science meetings.

Before moving into data science, Sole built a strong scientific foundation: she holds an MSc in Biology and a PhD in Biochemistry, and spent 8+ years as a research scientist at well-known institutions such as University College London and the Max Planck Institute. She has scientific publications in fields including cancer research and neuroscience, and her research was covered by the media on multiple occasions.