Bachelor's Thesis Project
Researched Parkinson's disease detection by analyzing handwriting dynamics with machine learning. Implemented various CNN architectures and demonstrated their effectiveness in identifying disease patterns, achieving superior model performance.

Time Series Forecasting for Oil and Gas (Lab Project)
Performed time series forecasting using Prophet, SARIMA, and LSTM models on a temporal dataset for oil and gas demand and supply management. Improved the accuracy of forecasts with LSTM model by over 50%.