Main technologies: Microsoft Power Platform (primarily Power BI, Power Query and DAX), SQL, Python
My strength lies in well-rounded education, combining technical and soft skills. I graduated high school with an advanced mathematics profile, earned a master's degree in corporate management, a bachelor's degree in philosophy, and further expanded my education with certificates and postgraduate studies in financial accounting, data analysis and visualization, programming, and data science.
Having familiarity working in an international setting and engaging with business clients, I have actively participated in the analysis of companies' market dynamics, financial reports, internal statistical data concerning aspects like team and process efficiency, as well as product quality. At present, my focus lies in working with extensive datasets derived from the insurance industry.
Dedicating a lot of time to learning and self-improvement is very important to me. In 2023, I even found myself on the cover of Coursera's Learner Outcomes Report! Check out the whole list of certified courses I have taken so far: Learning Summary.
Currently I work as a professional data analyst, primarily focusing on technical tasks related to process reengineering.
- Data visualization in Python
- IBM Data Analyst Professional Certificate Final Project
- University of Colorado Boulder, VBA Course Final Projects
- Excel Personal Finance Tracker
- University of Economics in Katowice, Machine Learning Projects
Quick showcase of my Power BI reports:
Interested in more? Below you can find examples of data analysis and automatisation using Python:
Find me on LinkedIn!