1) Analysis of traffic, calculating KPIs and different metrics.2) Preparing statistical reports.3) Automation of reports (using Jupiter Notebook, Python, JSON).

1) Used Python for the data analysis and the visualization, looking for the insights, preparing the recommendations for business;2) Downloaded the data using SQL-requests;3) Prepared dashboards in Tableau.4) Analysed product metrics.5) Calculated statistics.6) Conducted A/B-tests.Project "Social portrait of families of the Belgorod region in which disabled children are brought up".Made in Tableau. A dashboard was presented to the customer.Project "Analyze of russian sausage market".Made in Tableau. A dashboard was presented to the customer.Project "Analyze of vacancies published in LinkedIn". With dashboard following data was presented: number of Analyst' vacancies in European market, size of company, employment type, top-10 professional spheres, required hard-skills.

1) Made preparation of data in Python;2) Analysed correlations, made segmentation, created profile of target audience;3) Made visualizations, downloaded graphs in SVG-format;4) Checked hypothesises;5) Organised team work in Google colab.The project was connected with analytics and visualization of results according to statistical survey.The goal of team was analyze of answers, searching of normal and abnormal indicators, correlations, creating and checking hypothesis, presentation of results in Figma.

1) Managed the data in internal IT-systems for support production;2) Analysed the bill of materials to minimize production risks;3) Managed the implementation of technical changes to improve the product;4) Prepared analytical reports and presentations for other departments and management;5) Created, agreed, implemented and optimesed processes in logistics;6) Coordinated cross-functional and international teams for solving problems;7) Managed technical changes team (5 members).