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2025
MSc in Data Science
University of Glasgow
Dissertation Focus
BCPD (Bayesian Change Point Detection) using ML for indexes and crypto time series.
Investigated Bayesian methods for detecting structural breaks in high-volatility financial time series. Developed a custom probabilistic model in Python (PyMC3/NumPy) to identify market regime changes in real-time, outperforming traditional sliding-window variance metrics by 35%. Validated on 5 years of crypto and S&P 500 index data.
Key Modules
Data Science and SystemsDeep LearningMachine Learning & AI for DSBig DataText as DataWeb ScienceInformation RetrievalResearch Professional SkillsCyber Security FundamentalsInternet TechnologyProgramming Systems
Skills
- Bayesian Statistics
- Time Series Analysis
- Deep Learning
- Big Data Analytics
- Information Retrieval
- Text Mining
Tools & Tech
PythonPyTorchPyMC3Hadoop/SparkMongoDBLinux