I like playing with data, testing ideas, and understanding how systems behave. Exploring data across different contexts and use case based work has always extied me especially around conspets such as reinforcement learning and decision-making processes, to questions around causality and model explainability. At the same time, I care a lot about how insights are communicated. Data visualization and the user experience of the solutions I build are just as important to me as the backend I implemet behind.

My academic background combines engineering and data science. I completed my Bachelor’s degree in Automation, Control, and Robotics at Warsaw University of Technology, including a year-long exchange at Technical University of Berlin. I later pursued a Master’s degree in Data Science at University of Amsterdam, where I focused on analytical, computational, and modeling skills. Alongside my studies, I gained industry experience working with companies such as Procter & Gamble.