An end-to-end data analysis and machine learning project to uncover patterns in customer returns using the Brazilian eCommerce dataset. Includes exploratory data analysis, feature engineering, customer segmentation, return prediction models, and Power BI dashboards.

Borsa ve Döviz Kuru Getiri Analizi: Zaman Serisi Modelleme ve Regresyon Tahmini

Third and final academic exercise presented on GitHub. The project focuses on analyzing a portfolio composed of IXN, QQQ, IEF, VNQ, and GLD ETFs. The study includes Return, Risk, and Performance evaluations, leading to the construction of an optimized portfolio by applying the Fama & French and the Efficient Frontier models.