In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.

Quantitative analysis of crypto carry trade strategies (funding rates, staking, Pendle) on BTC/ETH, using historical data and visual insights.

Final project for the Investments course at EPFL. We evaluate the benefits of international diversification and various dynamic strategies (momentum, reversal, carry, dollar) using real market data. The project includes code, data processing, visualizations, and a full written report.

Quantitative analysis of the yen carry trade (2015-2025): data pipeline, regression, bucketed statistics, and P&L simulation in Python.

Country Explorer is a web application that lets you explore countries worldwide using free public APIs. Discover each nation's name, flag, and detailed information with simple filtering options. 🗺️🌍

Global Investing FX Terminal

🔒 Implement Starknet's staking mechanism to earn rewards, enhancing your BTC investment with a secure, efficient solution.