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Validating test results and implementations
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Provide recomendations about implementing a new feature
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Understanding passenger preferences
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Analyzing the impact of external factors on rides frequency
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Analyzing data about competitors
Libraries used: pandas, numpy, matplotlib, seaborn, squarify, scipy
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Analyze and provide recommendations about sales of video games by genre, platform, region e.t.c.
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Validate the influence of different factors, such as ratings, historical indicators, and so on
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Analyze logs of visit, orders and marketing expenses
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Calculate Churn, Retention, LTV, CAC, ROI
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Provide suggestions on how to optimize marketing expenses for online platform
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Calculate, print and study the events funnel
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Investigate the results of an A/A/B test
Libraries used: pandas, numpy, matplotlib, seaborn, plotly, scipy