Position: Data Analyst
Category: Data Analyst
English level: intermediate
Years of experience: 4

During my work experience I automated the analysis process, which reduces time by up to 80%; regularly reported and summarized the results.

During my studies, I had many practical tasks that helped me improve my data analysis skills. As a result, I created dashboards that demonstrated the current situation of the product, also data analysis was performed on an open dataset coming from Airbnb and successfully finished the Capstone Project from IBM SkillsBuild.
I have 4 years experience in analyzing complex datasets, deriving actionable insights, and contributing to data-driven strategies for business growth, including:
- collecting requirements and creating dashboards that help in business development;
- analyzing the effectiveness of  implemented changes in applications, advertising campaigns;
- finding ways to influence business development;
- regularly reporting and summarizing the results;
- automation of the analysis process, which reduces time by up to 80%;
- planning and forecast.
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Projects on my Data Analysis Courses:

Revenue Analysis: analysis of the distribution of app revenue over time, as well as by app and location. Used tools: Tableau Public Desktop.
Event Analysis: analysis the users behavior before first payment. Used tools: Tableau Public Desktop.
Salses visualisation: the goal was to visualize the sales of one company in Asia in the context of product line, cities and by month. Used tools: Power BI Desktop.

Capstone project in IBM SkillsBuild Europe Delivery: the goal was analysis of the distribution of bookings among AirBnB properties in the USA, taking into account the peculiarities of the area, booking conditions and pricing policy. 
Used tools: Python (Numpy, Pandas, Seaborn, Matplotlib)
I am eager in further development as a data analyst, I hope for interesting tasks and motivating projects. For me, it is very important to work in an employee-friendly environment with a goal-oriented, outgoing and supporting team. Not interested in working with betting or gambling.