Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

independently learned Power BI, and transferred reporting in the company from Excel to Power BI; as a result: saved time for updating reports, got interactivity of reports, and broader possibilities of data visualization.

on my initiative, I learned the Python programming language, as a result of which I was able to perform most tasks on my own, without outsourcing; as a result, saving money and time, got greater freedom in finding solutions.

independently learned SQL, which helped to automate and increase the efficiency of processing the collected data; it removed restrictions on the amount of processed information and increased the reliability and purity of data.
tasks at my previous job (Research and Develop specialist):
- data research
- data mining (mostly using web scraping, REST API)
- data preparing, collecting, and processing (PostgreSQL, Python, Power Query)
- data analysis, factors investigation, finding insights (Python, Power BI, Excel)
- data visualization, making reports (Power BI)
- app development (Python)

my main project was a service, that calculates a fair competitive price for real estate, finds the weaknesses and strengths of the user's real estate project, demonstrates the current competitive environment
partnership