Project name	Description	Libraries
Stydying patterns that determine the success of games	The parameters that determine the success of the game in different regions of the world are revealed.Based on this, a report for a computer games store was prepared in order to plan advertising campaigns.The current period for analysis has been selected. Portraits of users of each region were compiled, hypotheses were tested.	pandas,scipy,matplotlib
Moble App ProcrastinatePRO+ loss analysis	ProcrastinatePRO + data provided analysis, various metrics were calculated, cohort analysis was used: LTV, CAC, Retention rate, DAU, WAU, MAU, etc. The previously written functions for calculating metrics are used.	pandas,numpy,seaborn,matplotlib
Hypothesis testing (increasing ecommerce sales) - evaluating the resuts of A/B test	Hypotheses were prioritized by ICE and RICE frameworks. Then I analyzed the results of the A / B test, built graphs of cumulative revenue, average check, conversion by group, and then calculated the statistical significance of differences in conversions and average checks for raw and cleaned data.	pandas,numpy,scipy,matplotlib
Analysis of user behavior in a mobile App	I built a sales funnel, explored the path of users to purchase, analyzed A/B test results for the introduction of new fonts.	pandas,scipy