Different algorithms (e.g. bruteforce, backtracking, Crook's algorithm) for solving Sudoku-puzzles written in Python & C.

Black Scholes and Binomial Models for pricing European Options and Longstaff Schwartz for pricing American Options

Modelling optimal playing strategies for the board game Risk using Markov Chains and Monte-Carlo simulations

Module to retrieve and process stock information using yfinance. Used in other projects such as Option Pricing and Brinson-Fachler return attritbution.

Convolutional neural network (CNN) implemented in PyTorch for image classification trained on CIFAR-10 dataset classifying images in 10 categories (airplanes, automobiles, dog, etc.)

Image classification of Iris Flower dataset using 5 different machine learning methods (Decision Tree, Support Vector Machine, Random Forest, Naive Bayes and K-nearest neighbour)