A data-driven stock market analysis project using Python, focusing on time series modeling, moving averages, volatility, and trading signals. Includes EDA, risk-return metrics, and interactive visualizations to generate actionable investment insights and support data-backed decision-making.

A dynamic Excel-based dashboard for visualizing and auditing cryptocurrency investments, designed to adapt to the evolving blockchain financial landscape.