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1. Barrier-Option-Pricing-for-Tesla-using-Monte-Carlo-Simulation Barrier-Option-Pricing-for-Tesla-using-Monte-Carlo-Simulation Public

   A Python-based simulation to estimate the fair prices of Knock-In Call and Put barrier options for Tesla Inc. (TSLA) using Monte Carlo methods under a Geometric Brownian Motion (GBM) framework.

   Jupyter Notebook

2. MasterThesisProject---Comparative-Analysis-of-Random-Graph-Models-for-Power-Law-Networks MasterThesisProject---Comparative-Analysis-of-Random-Graph-Models-for-Power-Law-Networks Public

   This project analyzes and compares several random graph models to understand how well they reproduce power-law degree distributions, a common feature of real-world networks such as social, biologic…

   Jupyter Notebook

3. COVID-19-Spread-Simulation-Models COVID-19-Spread-Simulation-Models Public

   This report presents three simulation models of COVID-19 spread on a hexagonal grid, each incorporating different factors such as transmission mechanisms, mutations, and vaccination strategies.

   Python

4. Precipitation-in-Sweden-Analysis-of-Time-Series Precipitation-in-Sweden-Analysis-of-Time-Series Public

   This repository contains the analysis of precipitation trends in Sweden from 1933 to 2021. The goal of this project is to study the seasonal and overall trends in precipitation, model the time seri…

5. Bike-Demand-Prediction-Statistical-Machine-Learning Bike-Demand-Prediction-Statistical-Machine-Learning Public

   This report addresses the issue of predicting bike rental demand in Washington, D.C.’s Capital Bikeshare system. We applied multiple machine learning models to forecast times when additional bikes …