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Projects:

  • Validating test results and implementations

  • Provide recomendations about implementing a new feature



    Libraries used: pandas, numpy, matplotlib, seaborn, scipy

  • Understanding passenger preferences

  • Analyzing the impact of external factors on rides frequency

  • Analyzing data about competitors


    Libraries used: pandas, numpy, matplotlib, seaborn, squarify, scipy

  • Analyze and provide recommendations about sales of video games by genre, platform, region e.t.c.

  • Validate the influence of different factors, such as ratings, historical indicators, and so on


    Libraries used: pandas, numpy, matplotlib, seaborn, scipy

  • Analyze logs of visit, orders and marketing expenses

  • Calculate Churn, Retention, LTV, CAC, ROI

  • Provide suggestions on how to optimize marketing expenses for online platform


    Libraries used: pandas, numpy, matplotlib, seaborn, scipy

  • Calculate, print and study the events funnel

  • Investigate the results of an A/A/B test


    Libraries used: pandas, numpy, matplotlib, seaborn, plotly, scipy


Glad to keep in touch.

LinkedIn: Yuri Koretskiy

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