Polski
EnglishI am looking for opportunities to work with data where analysis and technology support real business decisions. I have been developing my skills in data analysis and analytics engineering through hands-on projects involving SQL, Python and Power BI. My work typically includes preparing analytical datasets, performing exploratory data analysis, and building dashboards that translate raw data into actionable insights. In my projects I have analyzed topics such as e-commerce revenue concentration, customer retention in SaaS platforms, and feature adoption patterns influencing churn. I focus on understanding the business context behind the data and turning analytical findings into practical recommendations. I am particularly interested in roles at the intersection of data, technology and business. I enjoy working with structured and unstructured datasets, designing SQL queries, building analytical pipelines, and collaborating with stakeholders to translate business questions into technical solutions. Technologies I work with: SQL (including CTE and window functions), Python (Pandas), Power BI, Excel, Jupyter Notebook. I am especially interested in projects where data analysis supports product decisions, operational improvements, or business strategy.
