I build data analysis projects with SQL, PostgreSQL, Python, Pandas, and NumPy, turning cleaned data and visualizations into clear conclusions.
In my Job Market Analysis project, I analyzed vacancies, employers, regions, salaries, required experience, and Data Scientist skills. I wrote SQL queries, processed results with Pandas, and summarized job-market patterns and salary differences.
For a HeadHunter resume analysis, I transformed features, handled missing values, removed outliers, explored relationships between variables, and created visualizations.
My business experience includes managing Aqvarele Manikirs Studija and founding RigaBar, where I worked with operations, clients, costs, schedules, suppliers, and performance. I also analyzed affiliate-channel performance at MELBET and developed frontend interfaces and JavaScript features during an internship at Liga A.
