Research
My thesis, Integrating Statistical and Deep Learning Models for Time-Series Data Prediction, combined statistical models (ARIMA, SMA) with LSTM to forecast across financial, environmental and public-health datasets. The work centred on building preprocessing pipelines, running forecasting experiments, and comparing model behaviour across datasets.
Full write-up: Statistical + Deep Learning Models for Time-Series Prediction.
Selected coursework
Data Mining · Pattern Recognition · Big Data Systems · Topics on Optimization and Decision Making · Operating System Engineering · Cryptography · Blockchain Principle and Application.