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https://github.com/samalyarov/practicum_projects

Various data analysis projects displaying tools and instruments that I am proficient with
https://github.com/samalyarov/practicum_projects

data-analysis datetime folium geojson matplotlib numpy pandas plotly postgresql powerpoint python regular-expressions requests-library-python scipy seaborn sql sqlalchemy tableau tqdm

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Various data analysis projects displaying tools and instruments that I am proficient with

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# Portfolio

This is a repository with all data analysis projects that I am able to share. Some of them I have completed during my education at "Yandex Practicum" as an Data Analyst. Each folder contains one or more jupyter notebooks as well as a README file with description of the project, conclusions, description of data used, as well as a list of python libraries and tools used in that project.



Note: the projects present mostly contain text in RUSSIAN language, and are present to showcase coding and analytical skills.



| Project name | Project Description | Libraries and tools used |

| :--------------------: | :---------------------: |:---------------------------:|

| [1.Big cities music](https://github.com/samalyarov/practicum_projects/tree/main/big_cities_music) | Comparing preferences and music consumption patterns of users from Moscow and Saint-Petersburg | *pandas* |

| [2.Evaluating potential borrowers reliability](https://github.com/samalyarov/practicum_projects/tree/main/analysing_reliability) | Analysing the effect of various factors (marital status, salary, etc.) on borrowers reliablity and likelyhood to skip a loan payment. | *pandas, tableau* |

| [3.Real estate market analysis](https://github.com/samalyarov/practicum_projects/tree/main/real_estate_market) | Analysing the real estate market of Saint-Petersburg | *pandas, matplotlib, seaborn, tableau* |

| [4.Telecom tariffs analysis](https://github.com/samalyarov/practicum_projects/tree/main/telecom_tariffs) | Analysing user behaviour and determening the profitability of various tariffs for the company | *pandas, numpy, matplotlib, seaborn, scipy* |

| [5.Game marketplace analytics](https://github.com/samalyarov/practicum_projects/tree/main/game_marketplace) | Determining key patterns in game successes based on historical data on sales | *pandas, numpy, matplotlib, seaborn, scipy, tqdm* |

| [6.Analyzing 'ProcrastinatePRO+' app financial losses](https://github.com/samalyarov/practicum_projects/tree/main/financial_losses_analysis) | Determine the reason company is losing money despite large investments into marketing and give recommendations on how to improve financial situation | *pandas, numpy, datetime, matplotlib, seaborn* |

| [7.Revenue optimization and A/B testing](https://github.com/samalyarov/practicum_projects/tree/main/revenue_optimisation_ab_testing) | Prioritizing and testing hypothesis with a goal to increase shop's profitability and margins | *pandas, numpy, matplotlib, seaborn, scipy, datetime* |

| [8.Moscow catering market analysis](https://github.com/samalyarov/practicum_projects/tree/main/moscow_catering_market) | Analyzing Moscow's catering market for investors willing to open a new place in the city | *pandas, numpy, matplotlib, seaborn, math, re, plotly, folium, geojson, PowerPoint* |

| [9.Analyzing user behaviour in a mobile app](https://github.com/samalyarov/practicum_projects/tree/main/user_behaviour_analysis) | Analyzing the sales funnel and results of A/A/B testing in order to determine profitability of proposed changes | *pandas, numpy, math, scipy, matplotlib, seaborn, datetime, plotly* |

| [10.Creating a dashboard for a news aggregating service](https://github.com/samalyarov/practicum_projects/tree/main/user_events_dashboard) | Creating a dashboard displaying several key metrics of user interaction with topics on Yandex.Dzen platform as well as a presentation. | *pandas, matplotlib, seaborn, sqlalchemy, PostgreSQL, PowerPoint, Tableau* |

| [11.TED-Talks analytics](https://github.com/samalyarov/practicum_projects/tree/main/ted_talks) | Creating a story with 4 dashboard displaying various data on TED-talks. | *Tableau* |

| [12. Final project](https://github.com/samalyarov/practicum_projects/tree/main/final_project) | Analyzing user behaviour in an mobile marketplace app, the results of a A/B test and writing SQL queries | *pandas, numpy, math, requests, datetime, scipy.stats, matplotlib, seaborn, plotly, warnings, sqlalchemy, PowerPoint, Tableau* |