This project analyzes Fitbit smart device data as part of the Google Data Analytics Capstone. Using R and the six-step data analysis process, I explored user behavior in daily activity, sleep, and calories to generate data-driven marketing insights for Bellabeat.

This case study explores historical forex data from 2008–2023 to answer a key business question: Which major currency pairs provide the best balance of profitability and consistency for retail traders? Using data cleaning, transformation, and analysis in R, I evaluated daily returns and volatility for EUR/USD, GBP/USD, and USD/JPY. The study includes visualizations of trends, distributions, and volatility comparisons, and concludes with actionable insights for traders, educators, and prop firms. This project demonstrates my ability to:  Define a business problem  Clean and prepare real-world financial data  Perform return and volatility analysis  Communicate insights clearly with visualizations and recommendations