Expert in Data Science and Machine Learning for the banking sector with over 7 years of experience.
I’m a data-driven economist and analytics specialist with a background in financial modeling, econometrics, and applied data science. My experience bridges quantitative analysis, credit risk modeling, and market forecasting, where I focus on building analytical tools that support strategic decision-making and automation in business environments. I combine a practical understanding of economics with advanced technical skills to deliver solutions that are both statistically sound and operationally effective.
Over the course of my career, I’ve developed and implemented models for credit risk assessment, market prediction, and portfolio optimization. My work often centers around transforming raw datasets into predictive frameworks using R, Python, SAS, and VBA. I have a strong interest in algorithmic trading, spatial econometrics, and automation of analytical workflows — particularly where economic insight meets scalable data infrastructure.
I hold a solid academic background in economics, econometrics, and data science, completed at Poland’s leading universities. I earned my Bachelor’s degree in Business Economics from the Warsaw University of Technology, and later obtained two Master’s degrees from the University of Warsaw, focusing on investment modeling and spatial market analysis. I also completed postgraduate programs at Kozminski University, SGH, and the University of Warsaw, specializing in Data Science, Big Data Management, and Analytical Modeling, where I developed advanced skills in Python, R, SAS, and VBA applied to credit risk, cryptocurrency markets, and predictive analytics.
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