Here I added 12 projects which have been made by me during my apprenticeship in Yandex.Practicum. Link for the platform https://praktikum.yandex.ru/data-analyst/
12. Game Project (Final)
Topic: EDA, A/B testing, hypotheses testing, dashboards creation,
Task: perform a monetization model for a game app
Tools: Python + libraries, SQL, Tableau
Results: various scenarios were created for a marketing campaign
11. Fitness Project
Topic: predictions, ML
Task: reduce customer churn
Tools: Python + Pandas, Numpy, Scipy, Sklearn libraries; Jupiter Notebook
Results: were found patterns for client's churn, recommendations for churn eliminations were made.
10. News Project
Topic: dashboards creation
Task: create a dashboard according to specification
Tools: Tableau, Python, SQL
Results: Tableau Dashboard
9. Mobile App Project
Topic: mixed
Task: build a sales funnel, study customer behaviour, explore the results of an A/A/B tests
Tools: Python + Pandas, Numpy, Scipy & Matplotlib, Seaborn, Plotly libraries; Jupiter Notebook;
Results: were tested 16 hypotheses (Z-Test); A/B test showed that changes in the interface did not give significant results for users; were given recommendations for App improvement.
8. Catering establishments project
Topic: data visualisation
Task: market analysis
Tools: Python + Pandas, Numpy, Scipy & Matplotlib, Seaborn, Plotly libraries; Jupiter Notebook; API; JSON Requests;
Results: were made recommendations for the new restaurant development.
7. E-commerce Project
Topic: A/B testing
Task: launch A/B test and prioritize hypotheses
Tools: Python + Pandas, Numpy, Scipy & Matplotlib, Seaborn libraries; Jupiter Notebook
Results: were tested several hypotheses (U-Test); the test was declared as invalid.
6. Afisha Project
Topic: business performance analysis, cohort analysis, user metrics
Task: reduce costs by eliminating unprofitable traffic sources and reallocating budget
Tools: Python + Pandas, Numpy & Matplotlib, Seaborn libraries; Jupiter Notebook
Results: user metrics for the product were calculated; the best channels for attracting traffic were determined.
5. Airline Project
Topic: Data Storage
Task: understand the preferences of users who buy tickets to certain destinations
Tools: Python + Pandas, Matplotlib & BeautifulSoup libraries; JSON Requests; Jupiter Notebook; PostgreSQL
Results: the demand of passengers for air tickets was analyzed, the client's preferences were found.
4. Game Project
Topic: mixed
Task: identify patterns that determine the success of the game
Tools: Python + Pandas & Matplotlib libraries, Jupiter Notebook
Results: were tested several hypothesis (T-Test); conclusions were prepared which game directions should be developed in the near future
3. Telecom Project
Topic: statistical data analysis
Task: determine the promising tariff for a mobile operator
Tools: Python + Pandas & Matplotlib libraries, Jupiter Notebook
Results: were tested several hypothesis (T-Test); deficiencies in tariffs were found, and made recommendations for their improvement
2. Real Estate Market Project
Topic: exploratory data analysis
Task: figure out whether the marital status and the number of the client's children affect the fact that the loan is repaid on time
Tools: Python + Pandas library, Jupiter Notebook
Results: descriptive client model will be used in the building a credit scoring model
1. Customer's Reliability Project
Topic: data processing
Task: to figure out whether the marital status and the number of the client's children affect the fact that the loan is repaid on time
Tools: Python + Pandas library; Jupiter Notebook