This repository contains selected academic projects completed as part of my master’s degree. The projects focus on applied data science, machine learning, and quantitative analysis across various domains including finance, health, energy, and development economics.
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Social Performance of Microfinance Institutions
Analysis of the social performance of microfinance institutions using empirical and econometric methods.
→social-performance-microfinance -
Stock Price Forecasting
Time series analysis and forecasting of stock prices using statistical and machine learning approaches.
→stock-price-forecasting -
Heart Disease Detection
Machine learning–based classification of heart disease using clinical data.
→heart-disease-detection -
Energy Price Impact Analysis
Study of energy price developments and their impact on stock performance in the energy sector.
→energy-price-impact-analysis -
Robust Regression for Crypto and Fiat Currencies
Application of stable and robust regression techniques to cryptocurrency and fiat currency markets.
→robust-regression-crypto-fiat
Each project follows the same structure:
project-name/
├── README.md # Project description
├── src/ # Jupyter notebooks / source code
└── docs/ # Written report or thesis (PDF)