Soledad Galli

Hey, I am Sole. I am a data scientist and open-source Python developer with a passion for teaching and programming.I teach intermediate and advanced courses on machine learning, covering topics like how to improve machine learning pipelines, better engineer and select features, optimize models, and deal with imbalanced datasets.I am the developer and maintainer of Feature-engine, an open-source Python library for feature engineering and selection, and the author of Packt's "Python Feature Engineering Cookbook" and the "Feature Selection in Machine Learning with Python" book.I received a Data Science Leaders Award in 2018 and was selected as one of "LinkedIn’s voices" in data science and analytics in 2019.I worked as a data scientist for financial and insurance firms, developing and putting in production machine learning models to assess credit risk, process insurance claims, and prevent fraud.I love sharing knowledge about data science and machine learning. This is why I teach online, create and contribute to open-source software, and also speak at meetups, write blogs, and participate in podcasts.I've got an MSc in Biology, a PhD in Biochemistry, and 8+ years of experience as a research scientist at well-known institutions like University College London and the Max Planck Institute. I've also taught biochemistry for 4+ years at the University of Buenos Aires and mentored MSc and PhD students.Feel free to contact me on LinkedIn, follow me on Twitter, or visit our website for blogs about machine learning.