Willian Fuks | tfcausalimpact: Open Source causal impact analysis

Bem vindo ao PyData São Paulo episódio Agosto de 2021!

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Convidado

Willian Fuks:
Working in the Data Science field focused on implementing products and solutions based in customers behavior and browsing patterns. My main tool for development is Python and my main interest is working in Data Science field, implementing Machine Learning algorithms and data processing related tasks, such as tracking, data prepatation and general ETL pipelines.
Currently learning about Tensorflow and how to use it for automation and solving different challenges for the company.

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tfcausalimpact: Open Source causal impact analysis

One day a good friend and coworker of mine came to me and asked a question that would “haunt me” to this day. In fact, this post, written years after that question, is a derivation of that conversation.
He asked:

• Hey man! We are trying to solve an interesting problem, maybe you can help us out! The challenge is, we want to run a marketing campaign on national television and we want a way to analyze the real impact that it had on our sales. How can we do that in a reliable way?
  To which I promptly answered: “man…without a control group I have no idea…😕”.
  Well, as we came to learn later on, there’s actually a set of techniques developed to solve this exact type of problem, also known as Causal Impact inference which will be addressed in this talk.