Pavel Pamialou

Preprocessed and visualized datasets in R, then built linear regression models and checked assumptions using diagnostic analysis. Fitted probability distributions and interpreted statistical outputs in a structured report. Focused on producing a consistent end-to-end analysis workflow from data preparation to model interpretation.

Researched nested approximation spaces, scaling functions, orthonormal systems, and wavelet representations, including the Haar wavelet. Used Hilbert-space methods and Fourier analysis to formalize key properties of multiresolution analysis. Authored and defended the thesis, achieving the top grade.

Analyzed weekly market price data for CD Projekt and KGHM using Python and Excel. Computed returns and portfolio risk measures, and assessed how correlation affects minimum-variance portfolio structure and the Capital Market Line. Validated inputs for missing or inconsistent data and presented findings using tables and charts.

Coordinated external communications with partners, sponsors, and university units while supporting day-to-day group activities. Served as the main contact for IBM during a financial modelling conference, coordinating speaker communications, schedules, and required materials. Prepared agendas, research summaries, decks, and formal documents for initiatives related to financial modelling and capital markets. Led the group website development, including information architecture, content, and digital identity coordination.