Building Web Apps with Python and Streamlit
Senior Data Scientist, Kühne + Nagel
Annemarie is a PhD economist who loves making real-world problems understandable with data. In her work as Senior Data Scientist at Kühne + Nagel in Hamburg, Germany, she builds data-driven solutions to gain insight into customer behavior, improve customer service, and to make logistics operations more efficient. Her interest also lies in data cleansing automation, schema mapping, and MLOps. Annemarie is co-organizer of an AI series which sheds light on AI innovations in Northern Germany and of hands-on python workshops.
For a successful data project, your analytical solutions need to be understandable and accessible. This workshop will guide you through building a web app with the python library Streamlit that allows users to interact with your data solution. By using an open-source data set, we will also show how you can integrate your data visualizations and machine learning models into your Streamlit app.