Welcome, my name is Siyabonga, and I’m a Junior Data Scientist. Over the past year, I’ve been honing my data science skills through online courses, seminars, webinars, articles, and Kaggle competitions.
Recently, I built a stock price dashboard web application.
The Stock Prices Dashboard is an interactive web application for various major corporations.
Designed to provide users with a comprehensive understanding of stock market data.
Built using Streamlit, this dashboard utilizes real-time data from the Yahoo Finance API, allowing users to explore stock information.
This project aims to predict the landing success of SpaceX's Falcon 9 first stage rocket. SpaceX's ability to reuse the first stage of their rockets is a key factor in reducing the cost of space transportation, making their launches cheaper than those of other providers.
This project when launched in Streamlit, is a web application that allows users to upload their own dataset and perform Exploratory Data Analysis (EDA), Data Visualization, and Hypothesis Testing on the dataset. The app provides a user-friendly interface for conducting statistical analysis and gaining insights from the data.
This project demonstrates the Python implementation of both Random Walks and Brownian Motion simulations. These simulations serve as a practical demonstration of two fundamental concepts in stochastic processes. The Brownian Motion is the foundation of the Black-Scholes model that is used in option pricing in Finance.
This project extracts and visualizes stock prices, provides company options for extraction, and offers interactive charts (line chart, candlestick chart). It also calculates Black-Scholes and Monte Carlo option prices and Greeks (Delta, Gamma, Vega, Theta, Rho). Also includes implied volatility calculation.