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1. Master_Thesis_UQ Master_Thesis_UQ Public

   Introducing a novel lightweight, post-hoc, single-pass, model-agnostic uncertainty quantification model for pretrained deep neural networks, designed for efficiency, scalability, and compatibility.

   Python 1

2. NLP-comparison-between-Naive-Bayes-RNN-LSTM-and-Transformers NLP-comparison-between-Naive-Bayes-RNN-LSTM-and-Transformers Public

   Comparative study of Naive Bayes, RNN, LSTM, and Transformers (BERT) applied to financial sentiment analysis. Conducted as part of a Master’s degree project using the Kaggle Financial News dataset.…

   Jupyter Notebook

3. Understanding-Uncertainty-in-Deep-Learning-through-Bayesian-Approaches Understanding-Uncertainty-in-Deep-Learning-through-Bayesian-Approaches Public

   Personal repository exploring Uncertainty Quantification (UQ) in deep learning. Includes theory notes, runnable notebooks, and slides/reviews of key papers covering applications in reinforcement le…

   Jupyter Notebook

4. Weather_Forecast_Ideas Weather_Forecast_Ideas Public

   Personal project comparing time series models (ARIMA, CatBoost, Random Forest, XGBoost, TFT) for hourly weather prediction. Focused on minimizing MAE for December forecasts across multiple stations…

   Jupyter Notebook

5. Unbiased-Simulation-of-Stochastic-Differential-Equations Unbiased-Simulation-of-Stochastic-Differential-Equations Public

   Master’s project implementing Henry-Labordère et al.’s unbiased Monte Carlo method to simulate SDEs without discretization bias. Includes a report, code, and notebooks demonstrating theory and expe…

   Jupyter Notebook

6. Monte-Carlo-Cross-Validation-for-Time-Series Monte-Carlo-Cross-Validation-for-Time-Series Public

   Building Monte Carlo Time Series Cross Validation without replacement, scikit learn ready