This repository contains labs, assessments, and thesis research from my master's programme in Data Analytics and Artificial Intelligence (Double Degree: TSI Riga × UWE Bristol).
-
Thesis — Master's thesis research: Heterogeneous Graph Neural Networks for User Journey Modeling: A Comparative Study with Sequential and Probabilistic Approaches. Four experiments (Exp0–Exp3), publication at RaTSiF-2026.
-
AI Project — Group project, contributed as Data Engineer & Developer (original repo: ai_group_project)
-
Big Data — Course assessment: Google Cloud Platform services with Python
-
Data Mining — Lab exercises on data analytics using Python
-
Machine Learning — Lab exercises focused on machine learning
-
ML Coursework — Course assessment: purchase prediction model using GA4 clickstream data, with focus on feature engineering and conversion-weighted scoring
📚 Double Degree programme: Data Analytics and Artificial Intelligence — Transport and Telecommunication Institute (TSI), Riga × University of the West of England (UWE Bristol).