Product range analysis for the online store, based on sales entries for a year.
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Updated
May 18, 2022 - Jupyter Notebook
Product range analysis for the online store, based on sales entries for a year.
In this project I prioritized hypotheses and conducted A/B analysis of chosen ones in order to find a way to boost revenue of an online store
Machine Learning project with two main goals: predict chances of customer churn, and define main target groups.
In this project I am analyzing the market of robot-run restaurant establishments in LA. It's main focus is to provide answers using data-based visualization.
In this project I had to pick up the half-done ab test, check whether it fits the technical description I received and bring it to completion.
This is the second integrated (mid-term) project, in which I had to analyze sales funnel and test multiple hypotheses based on the results of A/A/B test.
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